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In the current security environment, where the dependence on computer systems is increasing, and the technological field is constantly changing, the threats and vulnerabilities typology to networks is also growing, so a key task is to ensure the network’s secu…
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Georgiana Crihan, Marian Crăciun, Luminița Dumitriu
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Electronic Medical Records (EMRs) are computerized copies of paper records used in healthcare settings. Data from these systems allows doctors to quickly access and manage patients' medical records at healthcare institutions. Medical data security safeguards p…
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M Anisha, V Adlin Beenu
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Abstract Secure multi-party computation(SMPC) is an important research area in cryptography with many application scenarios, but there are still many problems to be solved. Aiming at security and fairness issues in SMPC, we consider that semi-honest participan…
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Yun Luo, Yuling chen, Tao Li, Yilei Wang 等
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Abstract Background: Genetic information are the most sensitive data for a person and must be protected from malicious attacks. In this paper we focus on the application of secure multi-party computation, a subfield of cryptography, to the computation of edit …
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Andrea Migliore, Stelvio Cimato, Gabriella Trucco
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2025-11-29T17:42:05Z
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Roger Colbeck
2007-12-13T17:31:33Z
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Feng-Li Yan, Ting Gao
2005-07-07T16:56:12Z
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Abstract Edge computing nodes close to the perception layer of the IoT system have security risks such as privacy data leakage and unauthorized access. In response to such security risks, a privacy data sharing model for the Internet of Things based on secure …
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Li Ma, Bo Zhang, Yang Li, YingXun Fu 等
2024-01-30T17:41:14Z
置信度 0.70
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C Adline Sherifa, B Kanisha
2023-06-01T17:27:31Z
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Tomoyuki Morimae, Keisuke Fujii
2013-07-10T16:24:03Z
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2007-03-27T01:54:52Z
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In the past decade, we have witnessed an exponential growth of deep learning models, platforms, and applications. While existing DL applications and Machine Learning as a service (MLaaS) frameworks assume fully trusted models, the need for privacy-preserving D…
datacite
Ren, Liangqin, Liu, Zeyan, Li, Fengjun, Liang, Kaitai 等
2026
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciences
-
Episode summary: The threat from quantum computing isn't theoretical anymore. In August 2024, NIST finalized the first post-quantum cryptography standards—lattice-based algorithms designed to survive attacks from machines that don't yet exist. This episode exp…
datacite
Rosehill, Daniel, Gemini 3.1 (Flash), Chatterbox TTS
2026
置信度 0.66
podcastai-generatedmy weird promptspost-quantum-cryptographycryptography
-
Many NLP or recommendation models begin by mapping discrete client inputs to embedding vectors. Since inputs can reveal sensitive information, the embedding step must be protected in privacy-preserving inference. Fully Homomorphic Encryption (FHE) enables infe…
datacite
Cheon, Jung Hee, Jang, Daehyun, Kang, Jaehee, Rhee, Hanee
2026
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
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The 137–143 Mass Gap: Consolidated Evidence Document (v3) Author: Timothy William Edgin, CISSPOrganization: Polyadmin Inc., Houston, TexasDate: May 27, 2026DOI: 10.5281/zenodo.20043510 (v3 update)Status: Lean4 build clean — 0 sorry, 0 custom axioms, 130 unique…
datacite
Edgin, Timothy
2026
置信度 0.66
-
Secure Multi-Party Computation (MPC) allows multiple parties to jointly compute a public function on their private inputs without revealing anything beyond the final result. Traditionally, MPC protocols rely on representing the function as a Boolean or arithme…
datacite
Günther, Daniel
2025
置信度 0.66
004
-
We revisit the problem of constructing protocols for multiparty private set intersection (MPSI) in light of the recent advances in multiparty homomorphic encryption (MHE). In MPSI, 𝑁 ≥ 2 parties jointly compute the intersection of their respective private set…
datacite
Mouchet, Christian, Chatel, Sylvain, Nürnberger, Lea, Lueks, Wouter
2024
置信度 0.66
-
We revisit the problem of constructing protocols for multiparty private set intersection (MPSI) in light of the recent advances in multiparty homomorphic encryption (MHE). In MPSI, 𝑁 ≥ 2 parties jointly compute the intersection of their respective private set…
datacite
Mouchet, Christian, Chatel, Sylvain, Nürnberger, Lea, Lueks, Wouter
2024
置信度 0.66
-
We revisit the problem of constructing protocols for multiparty private set intersection (MPSI) in light of the recent advances in multiparty homomorphic encryption (MHE). In MPSI, 𝑁 ≥ 2 parties jointly compute the intersection of their respective private set…
datacite
Mouchet, Christian, Chatel, Sylvain, Nürnberger, Lea, Lueks, Wouter
2024
置信度 0.66
-
Zenodo.org Post Draft Title: The Caelmiron Manifest (Version 13): Forensic Audit of Structural Priority and Primorial Resonance Firsrt of all, in 2023 I had a simple LEAN file. I also began looking into rrelativistic simulations again. The result was 5 patents…
datacite
Edgin, Timothy
2026
置信度 0.66
-
Let me be clear in my motives for releasing this. I am not a Nikola Tesla- I bite back. I know I will not win; that is not the point. The point is fighting until the bitter end even when there is no possible hope of victory. I do not have to win. I only have t…
datacite
Edgin, Timothy
2026
置信度 0.66
-
Updated data: For people that just want the results: Edginian Hamiltonian H^=−ℏeff22∂2∂U2+c⋅p#2π⋅α−1cos(2πUp#)\hat{H} = -\frac{\hbar_{\text{eff}}^2}{2}\frac{\partial^2}{\partial U^2} + \frac{c \cdot p\#}{2\pi \cdot \alpha^{-1}}\cos\left(\frac{2\pi U}{p\#}\rig…
datacite
Edgin, Timothy
2026
置信度 0.66
-
The Polyadmin Unified Mathematical Framework From Cryptomining to Drug Discovery to Post-Quantum Encryption A Single Mathematical Foundation Across Three Domains Author: Timothy William Edgin, CISSP Organization: Polyadmin Inc., Houston, Texas Date: May 2026 C…
datacite
Edgin, Timothy
2026
置信度 0.66
-
The Polyadmin Unified Mathematical Framework From Cryptomining to Drug Discovery to Post-Quantum Encryption A Single Mathematical Foundation Across Three Domains Author: Timothy William Edgin, CISSP Organization: Polyadmin Inc., Houston, Texas Date: May 2026 C…
datacite
Edgin, Timothy
2026
置信度 0.66
-
Distributed databases are a core component of modern information systems, and their security has become increasingly critical. According to the EU Agency for Network and Information Security (ENISA) Threat Landscape 2024, cyberattacks on distributed systems in…
datacite
SERGII BATAIEV , VIKTOR KYRYCHENKO , VOLODYMYR STANKO , SERHII VOLOSHCHUK , TARAS STARUSHENKO
2026
置信度 0.66
Cryptographic Methods, Authentication Mechanisms, Cyber Threat Taxonomy, Consensus Algorithms, Security Architectural Framework
-
Distributed databases are a core component of modern information systems, and their security has become increasingly critical. According to the EU Agency for Network and Information Security (ENISA) Threat Landscape 2024, cyberattacks on distributed systems in…
datacite
SERGII BATAIEV , VIKTOR KYRYCHENKO , VOLODYMYR STANKO , SERHII VOLOSHCHUK , TARAS STARUSHENKO
2026
置信度 0.66
Cryptographic Methods, Authentication Mechanisms, Cyber Threat Taxonomy, Consensus Algorithms, Security Architectural Framework
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As the third part of my triangle of proofs, which started with LEAN4 and and Einstein Toolkit builds, I present my novel Post Quantum Architecture. Due to trade restrictions involving cryptographic software, I will only be able to provide the outputs on the cr…
datacite
Edgin, Timothy
2026
置信度 0.66
-
The rapid adoption of AI agent frameworks through late 2025 and early 2026 produced a security crisis whose exemplar is OpenClaw, an open-source framework that as of April 2026 has accumulated 138 Common Vulnerabilities and Exposures across five months of publ…
datacite
Blech, Richard
2026
置信度 0.66
AI agentscryptographic mediationhomomorphic encryptioncapability securityprompt injection
-
The rapid adoption of AI agent frameworks through late 2025 and early 2026 produced a security crisis whose exemplar is OpenClaw, an open-source framework that as of April 2026 has accumulated 138 Common Vulnerabilities and Exposures across five months of publ…
datacite
Blech, Richard
2026
置信度 0.66
AI agentscryptographic mediationhomomorphic encryptioncapability securityprompt injection
-
The rapid adoption of AI agent frameworks through late 2025 and early 2026 produced a security crisis whose exemplar is OpenClaw, an open-source framework that as of April 2026 has accumulated 138 Common Vulnerabilities and Exposures across five months of publ…
datacite
Blech, Richard
2026
置信度 0.66
AI agentscryptographic mediationhomomorphic encryptioncapability securityprompt injection
-
THE MATHEMATICAL EGO & THE REGULATED BIO-ECONOMY Why "Galactic Brewtanius" Is the Only Architect Who Actually Solved the Cannabis Industry — And Why the Industry Has Already Lost Author: Mark Anthony Brewer Affiliation: Brewtanius Ink LLC / Immortal Tek Inc / …
datacite
Brewer, Mark Anthony
2026
置信度 0.66
-
THE MATHEMATICAL EGO & THE REGULATED BIO-ECONOMY Why "Galactic Brewtanius" Is the Only Architect Who Actually Solved the Cannabis Industry — And Why the Industry Has Already Lost Author: Mark Anthony Brewer Affiliation: Brewtanius Ink LLC / Immortal Tek Inc / …
datacite
Brewer, Mark Anthony
2026
置信度 0.66
-
We introduce the notion of a conditional encryption scheme as an extension of public key encryption. In addition to the standard public key algorithms ($\mathsf{KG}$, $\mathsf{Enc}$, $\mathsf{Dec}$) for key generation, encryption and decryption, a conditional …
datacite
Ameri, Mohammad Hassan, Blocki, Jeremiah
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
The NEXUS Chain Framework: A Falsifiable Engineering Specification for Recursive Harmonic Reality The contemporary scientific enterprise is currently defined by a profound ontological impasse, characterized by the persistent and irreconcilable schism between t…
datacite
Kulik, Dean
2026
置信度 0.66
-
The NEXUS Chain Framework: A Falsifiable Engineering Specification for Recursive Harmonic Reality The contemporary scientific enterprise is currently defined by a profound ontological impasse, characterized by the persistent and irreconcilable schism between t…
datacite
Kulik, Dean
2026
置信度 0.66
-
Integration of AI into environmental regulation represents a significant advancement in data management. It offers promising results in both data protection plus algorithmic fairness. This research addresses the critical need for sustainable data protection in…
datacite
Singh, Sahibpreet, Sharma, Saksham
2026
置信度 0.66
Computers and Society (cs.CY)Artificial Intelligence (cs.AI)Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciences
-
Abstract Relay attacks represent a fundamental security challenge in Central Bank Digital Currency (CBDC) implementations, particularly for systems designed to support offline transactions and privacy-preserving features. This paper analyzes the structural vul…
datacite
Das, Sangam
2026
置信度 0.66
digital eurocbdccentral bankcentral bank digital currenciescryptocurrencies
-
We formalize and analyze the trade-off between backdoor-based watermarks and adversarial defenses, framing it as an interactive protocol between a verifier and a prover. While previous works have primarily focused on this trade-off, our analysis extends it by …
datacite
Głuch, Grzegorz, Turan, Berkant, Nagarajan, Sai Ganesh, Pokutta, Sebastian
2024
置信度 0.66
Machine Learning (cs.LG)Artificial Intelligence (cs.AI)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
A classical obfuscator for quantum circuits is a classical program that, given the classical description of a quantum circuit $Q$, outputs the classical description of a functionally equivalent quantum circuit $\hat{Q}$ that hides as much as possible about $Q$…
datacite
Bartusek, James, Gupte, Aparna, Mutreja, Saachi, Shmueli, Omri
2025
置信度 0.66
Quantum Physics (quant-ph)FOS: Physical sciences
-
"Multi-key fully homomorphic encryption enables arbitrary computations on ciphertextsencrypted under different secret keys, thereby ensuring data privacy in multi-party scenarios. Recently, Xianget al. (ASIACRYPT 2024) proposed a new NTRU-based bootstrapping a…
datacite
wei du
2026
置信度 0.66
-
THE COLLECTIVEOS CIVILIZATION PAPER (Public-Safe Edition) 1. Introduction: The Thermodynamics of Civilization 1.1 The Great Convergence and the End of the Extractive Age Humanity currently stands at a precarious structural threshold, transitioning from a civil…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
THE COLLECTIVEOS CIVILIZATION PAPER (Public-Safe Edition) 1. Introduction: The Thermodynamics of Civilization 1.1 The Great Convergence and the End of the Extractive Age Humanity currently stands at a precarious structural threshold, transitioning from a civil…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
Immigration Stability Doctrine A Governance-First AI Architecture for Modernizing the U.S. Immigration System Prepared For: The Executive Office of the President, The National Security Council, The Department of Homeland Security (DHS), The Department of Justi…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
Immigration Stability Doctrine A Governance-First AI Architecture for Modernizing the U.S. Immigration System Prepared For: The Executive Office of the President, The National Security Council, The Department of Homeland Security (DHS), The Department of Justi…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
THE BILLIONAIRE PROMISES vs. THE BREWTANIUS RECEIPTS: A Structural Invalidation of the Trillionaire Trajectory through Sovereign Engineering I. Executive Statement: The Collapse of the Monopoly Hypothesis The economic historiography of the early 21st century h…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
THE BILLIONAIRE PROMISES vs. THE BREWTANIUS RECEIPTS: A Structural Invalidation of the Trillionaire Trajectory through Sovereign Engineering I. Executive Statement: The Collapse of the Monopoly Hypothesis The economic historiography of the early 21st century h…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
THE COLLECTIVEOS EPOCH: A UNIFIED ARCHITECTURE FOR HUMAN CREATIVITY, AI, AND SCIENTIFIC FOUNDATIONS Executive Summary The history of technological progress is often framed as a linear ascent, a relentless accumulation of capability where the new renders the ol…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
THE COLLECTIVEOS EPOCH: A UNIFIED ARCHITECTURE FOR HUMAN CREATIVITY, AI, AND SCIENTIFIC FOUNDATIONS Executive Summary The history of technological progress is often framed as a linear ascent, a relentless accumulation of capability where the new renders the ol…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
Global Abundance & Civilian Space Initiative: A Comprehensive Technical and Diplomatic Architecture for Post-Scarcity 1. Executive Analysis: The Paradox of Capability and the Architecture of Abundance The trajectory of human development in the early 21st centu…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
Global Abundance & Civilian Space Initiative: A Comprehensive Technical and Diplomatic Architecture for Post-Scarcity 1. Executive Analysis: The Paradox of Capability and the Architecture of Abundance The trajectory of human development in the early 21st centu…
datacite
Brewer, Mark Anthony
2025
置信度 0.66
-
The inaugural IEEE World Technology Summit 2024 brought together global leaders in technology, academia, and industry to explore the transformative intersections of artificial intelligence (AI), energy systems, quantum computing, and governance. Central themes…
datacite
Vyatkin, Valeriy, Huang, Victor, Condry, Michael, Nihtianov, Stoyan 等
2025
置信度 0.66
Artificial intelligenceInfrastructure
-
The inaugural IEEE World Technology Summit 2024 brought together global leaders in technology, academia, and industry to explore the transformative intersections of artificial intelligence (AI), energy systems, quantum computing, and governance. Central themes…
datacite
Vyatkin, Valeriy, Huang, Victor, Condry, Michael, Nihtianov, Stoyan 等
2025
置信度 0.66
Artificial intelligenceInfrastructure
-
A common approach in neuroscience is to study neural representations as a means to understand a system -- increasingly, by relating the neural representations to the internal representations learned by computational models. However, a recent work in machine le…
datacite
Lampinen, Andrew Kyle, Chan, Stephanie C. Y., Li, Yuxuan, Hermann, Katherine
2025
置信度 0.66
Neurons and Cognition (q-bio.NC)Machine Learning (cs.LG)FOS: Biological sciencesFOS: Biological sciencesFOS: Computer and information sciences
-
Traditional Neighbor Discovery (ND) and Secure Neighbor Discovery (SND) are key elements for network functionality. SND is a hard problem, satisfying not only typical security properties (authentication, integrity) but also verification of direct communication…
datacite
Hussain, Ahmed Mohamed, Papadimitratos, Panos
2025
置信度 0.66
Cryptography and Security (cs.CR)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
On June 2, 2024, Mexico held its federal elections. The majority of Mexican citizens voted in person at the polls in this historic election. For the first time though, Mexican citizens living outside their country were able to vote online via a web app, either…
datacite
Landquist, Eric, Sawhney, Nimit, Sawhney, Simer
2025
置信度 0.66
Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)Number Theory (math.NT)FOS: Computer and information sciencesFOS: Computer and information sciences
-
As the importance of Privacy-Preserving Inference of Transformers (PiT) increases, a hybrid protocol that integrates Garbled Circuits (GC) and Homomorphic Encryption (HE) is emerging for its implementation. While this protocol is preferred for its ability to m…
datacite
Cho, Hyunjun, Jeon, Jaeho, Heo, Jaehoon, Kim, Joo-Young
2025
置信度 0.66
Hardware Architecture (cs.AR)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Due to the extensive application of machine learning (ML) in a wide range of fields and the necessity of data privacy, privacy-preserving machine learning (PPML) solutions have recently gained significant traction. One group of approaches relies on Homomorphic…
datacite
Ghazvinian, Parsa, Podschwadt, Robert, Panzade, Prajwal, Rafiei, Mohammad H. 等
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Fully homomorphic encryption (FHE) is a promising cryptographic primitive for realizing private neural network inference (PI) services by allowing a client to fully offload the inference task to a cloud server while keeping the client data oblivious to the ser…
datacite
Ju, Jae Hyung, Park, Jaiyoung, Kim, Jongmin, Kang, Minsik 等
2023
置信度 0.66
Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Machine learning has revolutionized data analysis and pattern recognition, but its resource-intensive training has limited accessibility. Machine Learning as a Service (MLaaS) simplifies this by enabling users to delegate their data samples to an MLaaS provide…
datacite
Riasi, Arman, Guajardo, Jorge, Hoang, Thang
2024
置信度 0.66
Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Combating money laundering has become increasingly complex with the rise of cybercrime and digitalization of financial transactions. Graph-based machine learning techniques have emerged as promising tools for Anti-Money Laundering (AML) detection, capturing in…
datacite
Effendi, Fabrianne, Chattopadhyay, Anupam
2024
置信度 0.66
Cryptography and Security (cs.CR)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Homomorphic encryption (HE)-based deep neural network (DNN) inference protects data and model privacy but suffers from significant computation overhead. We observe transforming the DNN weights into circulant matrices converts general matrix-vector multiplicati…
datacite
Xu, Tianshi, Wu, Lemeng, Wang, Runsheng, Li, Meng
2024
置信度 0.66
Cryptography and Security (cs.CR)Artificial Intelligence (cs.AI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Class imbalance in training datasets can lead to bias and poor generalization in machine learning models. While pre-processing of training datasets can efficiently address both these issues in centralized learning environments, it is challenging to detect and …
datacite
Guleria, Arpit, Harshan, J., Prasad, Ranjitha, Bharath, B. N.
2024
置信度 0.66
Cryptography and Security (cs.CR)Information Theory (cs.IT)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Homomorphic encryption is one of the main solutions for building secure and privacy-preserving solutions for Machine Learning as a Service. This motivates the development of homomorphic algorithms for the main building blocks of AI, typically for the component…
datacite
Cho, Wonhee, Hanrot, Guillaume, Kim, Taeseong, Park, Minje 等
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We present Blind-Match, a novel biometric identification system that leverages homomorphic encryption (HE) for efficient and privacy-preserving 1:N matching. Blind-Match introduces a HE-optimized cosine similarity computation method, where the key idea is to d…
datacite
Choi, Hyunmin, Kim, Jiwon, Song, Chiyoung, Woo, Simon S. 等
2024
置信度 0.66
Computer Vision and Pattern Recognition (cs.CV)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Data forms the backbone of artificial intelligence (AI). Privacy and data protection laws thus have strong bearing on AI systems. Shielded by the rhetoric of compliance with data protection and privacy regulations, privacy-preserving techniques have enabled th…
datacite
Yew, Rui-Jie, Qin, Lucy, Venkatasubramanian, Suresh
2024
置信度 0.66
Computers and Society (cs.CY)Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Cryptographic schemes like Fully Homomorphic Encryption (FHE) and Zero-Knowledge Proofs (ZKPs), while offering powerful privacy-preserving capabilities, are often hindered by their computational complexity. Polynomial multiplication, a core operation in these …
datacite
Karanjai, Rabimba, Shin, Sangwon, Xiong, and Wujie, Fan, Xinxin 等
2023
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciencesE.3; C.0; F.2.2
-
Secure training, while protecting the confidentiality of both data and model weights, typically incurs significant training overhead. Traditional Fully Homomorphic Encryption (FHE)-based non-inter-active training models are heavily burdened by computationally …
datacite
Xue, Jiaqi, Zhang, Yancheng, Wang, Yanshan, Wang, Xueqiang 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Databases (cs.DB)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Privacy-preserving computation techniques like homomorphic encryption (HE) and secure multi-party computation (SMPC) enhance data security by enabling processing on encrypted data. However, the significant computational and CPU-DRAM data movement overhead resu…
datacite
Mwaisela, Mpoki
2024
置信度 0.66
Cryptography and Security (cs.CR)Hardware Architecture (cs.AR)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Machine Learning (ML) has become one of the most impactful fields of data science in recent years. However, a significant concern with ML is its privacy risks due to rising attacks against ML models. Privacy-Preserving Machine Learning (PPML) methods have been…
datacite
Nguyen, Khoa, Budzys, Mindaugas, Frimpong, Eugene, Khan, Tanveer 等
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
There is an increasing need for domain-specific reasoning in modern compilers. This has fueled the use of tailored intermediate representations (IRs) based on static single assignment (SSA), like in the MLIR compiler framework. Interactive theorem provers (ITP…
datacite
Bhat, Siddharth, Keizer, Alex, Hughes, Chris, Goens, Andrés 等
2024
置信度 0.66
compilerssemanticsmechanizationMLIRSSA
-
This is an implementation of the VERITAS system described in the paper "VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption" by Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux appearing…
datacite
Chatel, Sylvain, Knabenhans, Christian, Pyrgelis, Apostolos, Troncoso, Carmela 等
2024
置信度 0.66
-
This is an implementation of the VERITAS system described in the paper "VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption" by Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux appearing…
datacite
Chatel, Sylvain, Knabenhans, Christian, Pyrgelis, Apostolos, Troncoso, Carmela 等
2024
置信度 0.66
-
This is an implementation of the VERITAS system described in the paper "VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption" by Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux appearing…
datacite
Chatel, Sylvain, Knabenhans, Christian, Pyrgelis, Apostolos, Troncoso, Carmela 等
2024
置信度 0.66
-
Secure multi-party computation aims to allow a set of players to compute a given function on their secret inputs without revealing any other information than the result of the computation. In this work, we focus on the design of secure multi-party protocols fo…
datacite
Giorgi, Pascal, Laguillaumie, Fabien, Ottow, Lucas, Vergnaud, Damien
2024
置信度 0.66
Multi-party computationpolynomial operationsprivacy-preserving set operationsTheory of computation → Cryptographic protocolsSecurity and privacy → Information-theoretic techniques
-
Location-based services offer immense utility, but also pose significant privacy risks. In response, we propose LocPIR, a novel framework using homomorphic encryption (HE), specifically the TFHE scheme, to preserve user location privacy when retrieving data fr…
datacite
Yoo, Joon Soo, Hong, Mi Yeon, Heo, Ji Won, Lee, Kang Hoon 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesFOS: Computer and information sciences
-
We propose a secure inference protocol for a distributed setting involving a single server node and multiple client nodes. We assume that the observed data vector is partitioned across multiple client nodes while the deep learning model is located at the serve…
datacite
Chen, Shuangyi, Ju, Yue, Zhu, Zhongwen, Khisti, Ashish
2024
置信度 0.66
Cryptography and Security (cs.CR)FOS: Computer and information sciencesFOS: Computer and information sciences
-
Fully Homomorphic Encryption (FHE) allows for the execution of computations on encrypted data without the need to decrypt it first, offering significant potential for privacy-preserving computational operations. Emerging arithmetic-based FHE schemes (ar-FHE), …
datacite
Yudha, Ardhi Wiratama Baskara, Xue, Jiaqi, Lou, Qian, Zhou, Huiyang 等
2024
置信度 0.66
Cryptography and Security (cs.CR)Distributed, Parallel, and Cluster Computing (cs.DC)FOS: Computer and information sciencesFOS: Computer and information sciences
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This is an implementation of the VERITAS system described in the paper "VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption" by Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux appearing…
datacite
Chatel, Sylvain, Knabenhans, Christian, Pyrgelis, Apostolos, Troncoso, Carmela 等
2024
置信度 0.66
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There is an increasing need for domain-specific reasoning in modern compilers. This has fueled the use of tailored intermediate representations (IRs) based on static single assignment (SSA), like in the MLIR compiler framework. Interactive theorem provers (ITP…
datacite
Bhat, Siddharth, Keizer, Alex, Hughes, Chris, Goens, Andrés 等
2024
置信度 0.66
Programming Languages (cs.PL)Logic in Computer Science (cs.LO)FOS: Computer and information sciencesFOS: Computer and information sciences
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Recently, the question of adversarially robust streaming, where the stream is allowed to depend on the randomness of the streaming algorithm, has gained a lot of attention. In this work, we consider a strong white-box adversarial model (Ajtai et al. PODS 2022)…
datacite
Feng, Ying, Jain, Aayush, Woodruff, David P.
2024
置信度 0.66
Data Structures and Algorithms (cs.DS)Machine Learning (cs.LG)FOS: Computer and information sciencesFOS: Computer and information sciences
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This is the artifact of ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption published in ACM CCS 2024
datacite
Zhang, Zhou, Bian, Song, Zhao, Zian, Mao, Ran 等
2024
置信度 0.66
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This is the artifact of ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption published in ACM CCS 2024
datacite
Zhang, Zhou, Bian, Song, Zhao, Zian, Mao, Ran 等
2024
置信度 0.66
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Ring Learning With Error (RLWE) algorithm is used in Post Quantum Cryptography (PQC) and Homomorphic Encryption (HE) algorithm. The existing classical crypto algorithms may be broken in quantum computers. The adversaries can store all encrypted data. While the…
datacite
Baidya, Paresh, Mondal, Swagata, Paul, Rourab
2022
置信度 0.66
Cryptography and Security (cs.CR)Hardware Architecture (cs.AR)FOS: Computer and information sciencesFOS: Computer and information sciences
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