Wasserstein Differential Privacy
Authors: Chengyi Yang, Jiayin Qi, Aimin Zhou | Published: 2024-01-23
Privacy Protection Method
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Authors: Chao Liu, Boxi Chen, Wei Shao, Chris Zhang, Kelvin Wong, Yi Zhang | Published: 2024-01-22 | Updated: 2024-01-27
Differentially Private Sliced Inverse Regression: Minimax Optimality and Algorithm
Authors: Xintao Xia, Linjun Zhang, Zhanrui Cai | Published: 2024-01-16
Quantum Privacy Aggregation of Teacher Ensembles (QPATE) for Privacy-preserving Quantum Machine Learning
Authors: William Watkins, Heehwan Wang, Sangyoon Bae, Huan-Hsin Tseng, Jiook Cha, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2024-01-15
Crafter: Facial Feature Crafting against Inversion-based Identity Theft on Deep Models
Authors: Shiming Wang, Zhe Ji, Liyao Xiang, Hao Zhang, Xinbing Wang, Chenghu Zhou, Bo Li | Published: 2024-01-14
Privacy-Preserving in Blockchain-based Federated Learning Systems
Authors: Sameera K. M., Serena Nicolazzo, Marco Arazzi, Antonino Nocera, Rafidha Rehiman K. A., Vinod P, Mauro Conti | Published: 2024-01-07
Adaptive Differential Privacy in Federated Learning: A Priority-Based Approach
Authors: Mahtab Talaei, Iman Izadi | Published: 2024-01-04
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
PPBFL: A Privacy Protected Blockchain-based Federated Learning Model
Authors: Yang Li, Chunhe Xia, Wanshuang Lin, Tianbo Wang | Published: 2024-01-02 | Updated: 2024-01-08
Facebook Report on Privacy of fNIRS data
Authors: Md Imran Hossen, Sai Venkatesh Chilukoti, Liqun Shan, Vijay Srinivas Tida, Xiali Hei | Published: 2024-01-01