Differentially Private Over-the-Air Federated Learning Over MIMO Fading Channels
Authors: Hang Liu, Jia Yan, Ying-Jun Angela Zhang | Published: 2023-06-19 | Updated: 2023-12-25
プライバシー手法
PLAN: Variance-Aware Private Mean Estimation
Authors: Martin Aumüller, Christian Janos Lebeda, Boel Nelson, Rasmus Pagh | Published: 2023-06-14 | Updated: 2024-04-10
Fairness and Privacy-Preserving in Federated Learning: A Survey
Authors: Taki Hasan Rafi, Faiza Anan Noor, Tahmid Hussain, Dong-Kyu Chae | Published: 2023-06-14 | Updated: 2023-07-14
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization
Authors: Zhigang Kan, Linbo Qiao, Hao Yu, Liwen Peng, Yifu Gao, Dongsheng Li | Published: 2023-06-14
Differentially Private One Permutation Hashing and Bin-wise Consistent Weighted Sampling
Authors: Xiaoyun Li, Ping Li | Published: 2023-06-13
“Private Prediction Strikes Back!” Private Kernelized Nearest Neighbors with Individual Renyi Filter
Authors: Yuqing Zhu, Xuandong Zhao, Chuan Guo, Yu-Xiang Wang | Published: 2023-06-12
Gaussian Membership Inference Privacy
Authors: Tobias Leemann, Martin Pawelczyk, Gjergji Kasneci | Published: 2023-06-12 | Updated: 2023-10-26
AnoFel: Supporting Anonymity for Privacy-Preserving Federated Learning
Authors: Ghada Almashaqbeh, Zahra Ghodsi | Published: 2023-06-12
Efficient Skip Connections Realization for Secure Inference on Encrypted Data
Authors: Nir Drucker, Itamar Zimerman | Published: 2023-06-11
Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning
Authors: Guangfeng Yan, Tan Li, Kui Wu, Linqi Song | Published: 2023-04-26