Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
Authors: Iker Perez, Jason Wong, Piotr Skalski, Stuart Burrell, Richard Mortier, Derek McAuley, David Sutton | Published: 2024-01-03
Privacy Protection
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms
Authors: Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem | Published: 2023-12-24
Harnessing Inherent Noises for Privacy Preservation in Quantum Machine Learning
Authors: Keyi Ju, Xiaoqi Qin, Hui Zhong, Xinyue Zhang, Miao Pan, Baoling Liu | Published: 2023-12-18 | Updated: 2024-03-07
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
Authors: Hyunmin Choi, Simon Woo, Hyoungshick Kim | Published: 2023-12-18 | Updated: 2024-04-01
When PETs misbehave: A Contextual Integrity analysis
Authors: Ero Balsa, Yan Shvartzshnaider | Published: 2023-12-05
Deepfakes, Misinformation, and Disinformation in the Era of Frontier AI, Generative AI, and Large AI Models
Authors: Mohamed R. Shoaib, Zefan Wang, Milad Taleby Ahvanooey, Jun Zhao | Published: 2023-11-29
Using Decentralized Aggregation for Federated Learning with Differential Privacy
Authors: Hadeel Abd El-Kareem, Abd El-Moaty Saleh, Ana Fernández-Vilas, Manuel Fernández-Veiga, asser El-Sonbaty | Published: 2023-11-27
Rethinking Privacy in Machine Learning Pipelines from an Information Flow Control Perspective
Authors: Lukas Wutschitz, Boris Köpf, Andrew Paverd, Saravan Rajmohan, Ahmed Salem, Shruti Tople, Santiago Zanella-Béguelin, Menglin Xia, Victor Rühle | Published: 2023-11-27
Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs
Authors: Yizheng Zhu, Yuncheng Wu, Zhaojing Luo, Beng Chin Ooi, Xiaokui Xiao | Published: 2023-11-26
Privacy-Preserving Algorithmic Recourse
Authors: Sikha Pentyala, Shubham Sharma, Sanjay Kariyappa, Freddy Lecue, Daniele Magazzeni | Published: 2023-11-23