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
Privacy Protection
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
A Blockchain Solution for Collaborative Machine Learning over IoT
Authors: Carlos Beis-Penedo, Francisco Troncoso-Pastoriza, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas, Manuel Fernández-Veiga, Martín González Soto | Published: 2023-11-23
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Authors: Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran | Published: 2023-11-23 | Updated: 2023-11-29
PrivateLoRA For Efficient Privacy Preserving LLM
Authors: Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang | Published: 2023-11-23
Enhancing Intrusion Detection In Internet Of Vehicles Through Federated Learning
Authors: Abhishek Sebastian, Pragna R, Sudhakaran G, Renjith P N, Leela Karthikeyan H | Published: 2023-11-23
From Principle to Practice: Vertical Data Minimization for Machine Learning
Authors: Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev | Published: 2023-11-17 | Updated: 2023-11-22
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?
Authors: Robert A. Bridges, Vandy J. Tombs, Christopher B. Stanley | Published: 2023-11-15 | Updated: 2024-06-11