How Much Privacy Does Federated Learning with Secure Aggregation Guarantee?
Authors: Ahmed Roushdy Elkordy, Jiang Zhang, Yahya H. Ezzeldin, Konstantinos Psounis, Salman Avestimehr | Published: 2022-08-03
プライバシー漏洩
A New Implementation of Federated Learning for Privacy and Security Enhancement
Authors: Xiang Ma, Haijian Sun, Rose Qingyang Hu, Yi Qian | Published: 2022-08-03
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Authors: Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra | Published: 2022-08-01 | Updated: 2024-02-17
SecretGen: Privacy Recovery on Pre-Trained Models via Distribution Discrimination
Authors: Zhuowen Yuan, Fan Wu, Yunhui Long, Chaowei Xiao, Bo Li | Published: 2022-07-25
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Authors: Dario Pasquini, Mathilde Raynal, Carmela Troncoso | Published: 2022-05-17 | Updated: 2023-11-10
You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas
Authors: Haoran Li, Yangqiu Song, Lixin Fan | Published: 2022-04-26
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
Authors: Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Jafar, Ravi Tandon, Chao Tian | Published: 2021-07-30
Who’s Afraid of Thomas Bayes?
Authors: Erick Galinkin | Published: 2021-07-30
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation
Authors: Tanveer Khan, Alexandros Bakas, Antonis Michalas | Published: 2021-07-29
Fully Homomorphically Encrypted Deep Learning as a Service
Authors: George Onoufriou, Paul Mayfield, Georgios Leontidis | Published: 2021-07-26