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Background Homomorphic encryption (HE) represents a pivotal innovation in modern cryptography, offering a pathway to secure computation on encrypted data. This paper embarks on a comprehensive exploration of HE's applications, elucidating its transformative po…
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Elissa Mollakuqe, Arber Parduzi, Shasivar Rexhepi, Vesna Dimitrova 等
2025-10-09T10:55:07Z
置信度 0.70
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Chibuike Ugwuoke, Zekeriya Erkin, Reginald L. Lagendijk
2017-11-02T21:20:38Z
置信度 0.70
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Chunxia Tu
2018-05-28T15:34:06Z
置信度 0.70
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Bijiao Chen, Xianghan Zheng
2022-05-10T12:34:34Z
置信度 0.70
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Plaintext-ciphertext matrix multiplication (PC-MM) is an indispensable tool in privacy-preserving computations such as secure machine learning and encrypted signal processing. While there are many established algorithms for plaintext-plaintext matrix multiplic…
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Krishna Ramapragada, Utsav Banerjee
2025-04-08T17:23:17Z
置信度 0.70
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Justin Zhan
2007-06-07T17:03:29Z
置信度 0.70
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George Dimitoglou, Carol Jim
2023-08-25T17:17:05Z
置信度 0.70
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Nileshkumar Kakade, Utpalkumar Patel
2020-10-15T20:00:38Z
置信度 0.70
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Marin Matsumoto, Masato Oguchi
2020-10-01T20:44:27Z
置信度 0.70
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crossref
Zeyu Wang, Makoto Ikeda
2023-08-02T13:30:03Z
置信度 0.70
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Zvika Brakerski, Vinod Vaikuntanathan
2011-12-23T11:39:51Z
置信度 0.70
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Adil Bouti, Jorg Keller
2015-12-21T21:48:58Z
置信度 0.70
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Gireesh Kambala
2026-05-12T19:46:43Z
置信度 0.70
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Wei Dai, Yarkin Doroz, Berk Sunar
2015-02-17T14:50:25Z
置信度 0.70
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crossref
2020-08-27T12:49:59Z
置信度 0.70
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R. Kangavalli, Vagdevi S
2015-07-13T17:16:18Z
置信度 0.70
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Cloud computing is a very convenient way of processing huge databases while sharing resources. Currently there are many cloud services available at comparatively low costs, which encourages researchers in the field of Machine and Deep Learning to use them. The …
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Megha Kolhekar, Ashish Pandey, Ayushi Raina, Rijin Thomas 等
2020-04-04T07:31:34Z
置信度 0.70
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Magda Foti
2023-07-03T13:48:10Z
置信度 0.70
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Cloud computing is an indispensable technology for any business organization, such as banking, e-commerce, etc. Although technology has advantages in many areas; The protection of stored data is a major concern for all stakeholders in the architecture. Provide…
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C Veena, Dr M. Hanumanthappa
2018-07-30T08:35:24Z
置信度 0.70
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George Asante, James Ben Hayfron-Acquah, Michael Asante
2021-11-08T15:59:51Z
置信度 0.70
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The idea of homomorphic encryption is to make sure data confidentiality in messages, storage or in utilize by processes with methodssimilar to conventional cryptography, but with additionalabilities of computing over encrypted data, searching an encrypted data…
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J.Keziya Rani
2022-09-06T14:30:34Z
置信度 0.70
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crossref
2018-11-27T02:55:56Z
置信度 0.70
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The increasing acceptance of machine learning (ML) in sensitive applications such as health care, finance, and enforcement brings many serious privacy concerns requiring privacy-preserving techniques to be developed. Homomorphic encryption (HE) seems to be a g…
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G. Mahalakshmi
2025-10-22T15:56:09Z
置信度 0.70
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Alexander Zhirov, Olga Zhirova, Sergey F. Krendelev
2014-04-30T21:13:02Z
置信度 0.70
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Wei Wang, Zhilu Chen, Xinming Huang
2014-07-30T21:16:29Z
置信度 0.70
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Encryption protects data in the cloud but adds energy cost, especially for partially homomorphic encryption (PHE) schemes that allow computation on encrypted data. Their carbon footprint across cloud data center deployments remains underexplored. We benchmark …
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Alper Ozpinar, Sefik Ilkin Serengil
2026-05-25T05:33:54Z
置信度 0.70
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K. Suveetha, T. Manju
2016-03-17T12:53:57Z
置信度 0.70
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crossref
Shiji Mariam Mathew, S Sabitha
2018-10-18T18:50:31Z
置信度 0.70
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crossref
Xiaoqian Jiang, Miran Kim, Kristin Lauter, Tim Scott 等
2022-01-03T23:02:43Z
置信度 0.70
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crossref
Md Jueal Mia
2025-10-09T17:56:53Z
置信度 0.70
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crossref
Jing Xia
2020-07-23T07:43:21Z
置信度 0.70
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Marius Iulian Mihailescu, Stefania Loredana Nita
2020-11-24T03:26:50Z
置信度 0.70
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An online questionnaire is a simple and efficient method of acquiring diverse data for surveys. However, a proportion of respondents have strong concerns about whether questionnaires in this form will leak their privacy, which causes their unwillingness to fil…
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Xinhong Yu
2023-04-06T06:48:38Z
置信度 0.70
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Leo de Castro, Erin Hales, Mimee Xu
2022-01-03T23:02:43Z
置信度 0.70
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Fully homomorphic encryption has long been regarded as cryptography’s prized “holy grail”–extremely useful yet rather elusive. At 2010 van Dijk et al. described a fully homomorphic encryption scheme over theintegers. The main appeal of this scheme is its conce…
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Lei Jin, Xin Xia Song
2014-07-18T07:20:02Z
置信度 0.70
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BACKGROUND Learning a model without accessing raw data has been an intriguing idea to security and machine learning researchers for years. In an ideal setting, we want to encrypt sensitive data to store them on a commercial cloud and run certain analyses witho…
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Miran Kim, Yongsoo Song, Shuang Wang, Yuhou Xia 等
2018-04-17T10:45:12Z
置信度 0.70
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crossref
Daniel O'Malley, John K. Golden
2020-12-22T21:07:15Z
置信度 0.70
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crossref
Rashmi Agrawal, Ajay Joshi
2023-07-24T08:02:34Z
置信度 0.70
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In the era of artificial intelligence, deep learning has achieved success in fields such as image recognition and natural language processing, but the training process, which relies on sensitive data, raises privacy risks. Traditional privacy protection techni…
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Junhao Wu
2026-03-21T00:15:39Z
置信度 0.70
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crossref
Ping Zhu, Yanxiang He, Guangli Xiang
2007-04-24T18:19:49Z
置信度 0.70
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crossref
Ila Chandrakar, Vishwanath R Hulipalled
2021-11-09T20:45:27Z
置信度 0.70
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The rapid growth of conversational artificial intelligence (AI) across sectors has amplified concerns over data confidentiality. While conventional chat systems secure data in transit and at rest, they decrypt content at the server for inference or tool calls,…
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Chandan Jain H P
2025-11-25T17:42:03Z
置信度 0.70
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D.J. Guan, Chen-Yu Tsai, E.S. Zhuang
2013-10-12T02:59:01Z
置信度 0.70
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crossref
Xunyi Ren -, LiLi wei -
2012-02-10T09:48:37Z
置信度 0.70
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Machine learning (ML) offers significant potential for disease prediction, clinical decision support, and medical data classification, but its reliance on sensitive patient data raises privacy and security concerns, particularly under strict healthcare regulat…
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Fairuz Haq, Chao Chen, Zesheng Chen
2025-11-21T11:04:31Z
置信度 0.70
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crossref
Justin Zhan
2007-07-02T17:45:52Z
置信度 0.70
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crossref
Hongfeng Xie, Huiyun Li, Guoqing Xu
2015-10-01T21:51:38Z
置信度 0.70
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crossref
Min Zhao E, Yang Geng
2019-07-15T15:48:22Z
置信度 0.70
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crossref
Darko Hrestak, Stjepan Picek
2014-07-30T16:19:16Z
置信度 0.70
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crossref
Xuelei Li, Ruyang Li, Bing Bai, Yaqian Zhao 等
2023-06-26T18:04:47Z
置信度 0.70
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The digitalization of healthcare information raises serious issues of privacy and security. Classical encryption needs to be decrypted in order to analyze, leaving confidential data vulnerable to compromise. Homomorphic encryption is used in this project to al…
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Aman Kumar, Akash Yadav, Gousiya Begum, P Poornima
2025-05-02T15:43:31Z
置信度 0.70
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crossref
2025-09-15T17:15:33Z
置信度 0.70
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crossref
Shakirah Hashim, Mohammed Benaissa
2023-03-30T17:24:24Z
置信度 0.70
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crossref
Baigang Chen, Dongfang Zhao
2026-04-27T12:38:33Z
置信度 0.70
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Smart furniture is gradually entering people's lives. The special nature of smart furniture determines that it will be exposed to a large amount of private information, but the data processing behind smart furniture still lacks sufficient security. Therefore, …
crossref
Huanyu Liu
2023-04-06T06:48:38Z
置信度 0.70
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Financial institutions use various confidential datasets to accomplish their objectives, such as providing tailored financial services to their clients and preventing criminal business activities. Concerns about the possibility of sharing these datasets are re…
crossref
Danilo Antonino Giannone, Carsten Maple, Michela Iezzi
2023-01-27T17:15:03Z
置信度 0.70
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crossref
Kristin E. Lauter
2012-10-19T13:41:01Z
置信度 0.70
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crossref
Ihsan Jabbar
2016-06-22T20:55:35Z
置信度 0.70
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crossref
Kristin Lauter
2017-08-17T18:10:45Z
置信度 0.70
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crossref
Mei Cai
2019-02-02T22:32:12Z
置信度 0.70
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crossref
Asha Kiran, Manimala Puri, S. Srinivasa
2019-01-17T06:22:06Z
置信度 0.70
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Blockchain-based voting systems provide transparency and auditability but introduce significant privacy risks due to publicly observable metadata. Existing approaches rely on mixnets or heavy cryptographic primitives to achieve anonymity, resulting in high com…
crossref
Ravinjeet Singh
2026-07-29T13:23:00Z
置信度 0.70
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crossref
Manoj Prabhakaran, Mike Rosulek
2016-04-25T16:05:52Z
置信度 0.70
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crossref
Alina Trepacheva
2014-12-16T13:41:52Z
置信度 0.70
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With the growing adoption of Artificial Intelligence (AI) in sensitive sectors such as healthcare and finance, protecting user privacy during data processing has become paramount. One promising approach is Fully Homomorphic Encryption (FHE), which offers a via…
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Mayssa Dziri, Haifa Touati, Hakim Ghazzai, Mohamed Hadded 等
2025-10-22T16:46:23Z
置信度 0.70
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crossref
Xun Yi, Russell Paulet, Elisa Bertino
2014-11-14T14:46:09Z
置信度 0.70
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crossref
Ferucio-Laurenţiu Ţiplea
2026-05-09T23:04:47Z
置信度 0.70
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crossref
Yuki Yamada, Kurt Rohloff, Masato Oguchi
2019-08-02T00:04:08Z
置信度 0.70
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crossref
2022-12-29T20:00:39Z
置信度 0.70
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crossref
Gopi Suresh Arepalli, Boobalan Pakkiri
2024-02-27T13:56:24Z
置信度 0.70
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crossref
Travis Morrison, Sarah Scheffler, Bijeeta Pal, Alexander Viand
2022-01-03T23:02:43Z
置信度 0.70
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crossref
Guangli Xiang, Benzhi Yu, Ping Zhu
2012-07-19T23:43:25Z
置信度 0.70
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crossref
Jihoon Suh, Takashi Tanaka
2021-07-28T20:29:16Z
置信度 0.70
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crossref
Vishnu Naresh Boddeti
2019-04-25T23:48:37Z
置信度 0.70
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crossref
Quang Dang Truong, Hanho Lee
2026-01-14T20:38:59Z
置信度 0.70
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crossref
Nico Saputro, Kemal Akkaya
2012-06-20T13:34:54Z
置信度 0.70
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crossref
Fangyuan Jin, Yanqin Zhu, Xizhao Luo
2012-05-25T14:58:03Z
置信度 0.70
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This paper proposes a lightweight homomorphic encryption (HE) technique designed for secure data transmission in resource-constrained environments such as IoT, sensor networks, and edge computing platforms. The method integrates a modified AES structure—in whi…
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Sumaira Bashir, Amit Sharma
2026-02-14T10:13:27Z
置信度 0.70
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crossref
Saransh Gupta, Tajana Simunic Rosing
2021-11-08T18:30:34Z
置信度 0.70
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Homomorphic encryption combined with algebraic geometry is emerging as one of the most mathematically powerful strategies for enabling privacy-preserving machine learning in environments where data confidentiality cannot be compromised. Traditional cryptograph…
crossref
Mital Patel,
2025-11-21T08:06:24Z
置信度 0.70
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crossref
2026-04-21T09:05:36Z
置信度 0.70
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crossref
Erik Kline, Srivatsan Ravi, David Cousins, Sara Rv
2022-05-16T20:45:39Z
置信度 0.70
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crossref
Duy Tung Khanh Nguyen, Dung Hoang Duong, Willy Susilo, Yang-Wai Chow 等
2025-01-21T16:37:53Z
置信度 0.70
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crossref
2019-12-04T11:07:38Z
置信度 0.70
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crossref
Dalia Tourky, Mohamed ElKawkagy, Arabi Keshk
2017-05-12T21:38:20Z
置信度 0.70
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crossref
Khalil Hariss, Maroun Chamoun, Abed Ellatif Samhat
2021-04-14T04:26:32Z
置信度 0.70
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crossref
Kevin E. Foltz, William R. Simpson
2020-08-12T19:18:38Z
置信度 0.70
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crossref
Lv Chen, Lingli Chen, Qin Li
2023-07-16T16:49:56Z
置信度 0.70
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Cloud usage for storing data and performing operations has gained immense popularity in recent times. However, there are concerns that uploading data to the cloud increases the chances of unauthorized parties accessing it. One way to secure data from unauthori…
crossref
Mohammad Hossain, Vinayak Sharma
2024-03-21T19:45:25Z
置信度 0.70
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crossref
Marius Iulian Mihailescu, Stefania Loredana Nita
2023-06-21T08:02:48Z
置信度 0.70
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crossref
Maha Tebaa, Said El Hajji, Abdellatif El Ghazi
2012-08-01T11:06:17Z
置信度 0.70
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crossref
Abel C. H. Chen
2024-01-01T14:31:20Z
置信度 0.70
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Abstract With the development of computer networks, cloud storage has become the mainstream way for people to store information. However, some essential information is disclosed during the storage process and the security of information has become the most con…
crossref
Lijuan Wang, Lina Ge, Bo Geng, Qiuyue Wang
2019-07-12T04:14:32Z
置信度 0.70
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crossref
Jinsu Kim, Sungwook Kim, Jae Hong Seo
2017-09-05T14:32:16Z
置信度 0.70
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crossref
Marek R. Ogiela, Marcin Oczko
2018-08-13T22:03:06Z
置信度 0.70
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crossref
Jingguo Bi, Mingjie Liu, Xiaoyun Wang
2012-08-30T16:57:57Z
置信度 0.70
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crossref
Ayantika Chatterjee, Khin Mi Mi Aung
2019-05-14T04:12:08Z
置信度 0.70
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crossref
Y. Govinda Ramaiah, G Vijaya Kumari
2013-02-13T17:11:31Z
置信度 0.70
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crossref
Randeep Kaur, Supriya Kinger
2014-09-19T05:57:24Z
置信度 0.70
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crossref
Sivaranjani Reddi, Jami Venkata Suman
2025-11-28T17:10:56Z
置信度 0.70