Reinforcement Learning-Based Black-Box Model Inversion Attacks
Authors: Gyojin Han, Jaehyun Choi, Haeil Lee, Junmo Kim | Published: 2023-04-10
プライバシー手法
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Authors: Kang Wei, Jun Li, Chuan Ma, Ming Ding, Feng Shu, Haitao Zhao, Wen Chen, Hongbo Zhu | Published: 2023-04-09 | Updated: 2023-12-21
Does Prompt-Tuning Language Model Ensure Privacy?
Authors: Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine | Published: 2023-04-07 | Updated: 2023-04-15
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
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