Perfectly Secure Steganography Using Minimum Entropy Coupling
Authors: Christian Schroeder de Witt, Samuel Sokota, J. Zico Kolter, Jakob Foerster, Martin Strohmeier | Published: 2022-10-24 | Updated: 2023-10-30
Privacy Technique
Android Private Compute Core Architecture
Authors: Eugenio Marchiori, Sarah de Haas, Sergey Volnov, Ronnie Falcon, Roxanne Pinto, Marco Zamarato | Published: 2022-09-21 | Updated: 2022-09-22
Audit and Improve Robustness of Private Neural Networks on Encrypted Data
Authors: Jiaqi Xue, Lei Xu, Lin Chen, Weidong Shi, Kaidi Xu, Qian Lou | Published: 2022-09-20
Verifiable Encodings for Secure Homomorphic Analytics
Authors: Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux | Published: 2022-07-28 | Updated: 2024-06-04
Fine-grained Private Knowledge Distillation
Authors: Yuntong Li, Shaowei Wang, Yingying Wang, Jin Li, Yuqiu Qian, Bangzhou Xin, Wei Yang | Published: 2022-07-27 | Updated: 2023-04-06
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning
Authors: Yunhao Yang, Parham Gohari, Ufuk Topcu | Published: 2022-05-25
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning
Authors: Sikha Pentyala, Nicola Neophytou, Anderson Nascimento, Martine De Cock, Golnoosh Farnadi | Published: 2022-05-23 | Updated: 2022-08-26
Differential Privacy: What is all the noise about?
Authors: Roxana Danger | Published: 2022-05-19
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
Privacy-Preserving Distributed Machine Learning Made Faster
Authors: Zoe L. Jiang, Jiajing Gu, Hongxiao Wang, Yulin Wu, Junbin Fang, Siu-Ming Yiu, Wenjian Luo, Xuan Wang | Published: 2022-05-12