From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Authors: Edwige Cyffers, Aurélien Bellet, Debabrota Basu | Published: 2023-02-24 | Updated: 2023-07-12
Privacy Enhancing Technology
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data
Authors: Pratik Karmakar, Debabrota Basu | Published: 2023-02-16 | Updated: 2023-10-18
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
Authors: Noel Loo, Ramin Hasani, Mathias Lechner, Alexander Amini, Daniela Rus | Published: 2023-02-02 | Updated: 2023-11-09
On the Efficacy of Differentially Private Few-shot Image Classification
Authors: Marlon Tobaben, Aliaksandra Shysheya, John Bronskill, Andrew Paverd, Shruti Tople, Santiago Zanella-Beguelin, Richard E Turner, Antti Honkela | Published: 2023-02-02 | Updated: 2023-12-19
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Authors: Hang Fan, Xiaoyu Fan, Tianyi Hao, Wei Wei, Kun Chen, Guosai Wang, Xiaofeng Jia, Yidong Li, Wei Xu | Published: 2023-01-31
Practical Differentially Private Hyperparameter Tuning with Subsampling
Authors: Antti Koskela, Tejas Kulkarni | Published: 2023-01-27 | Updated: 2024-02-13
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
Authors: Tanveer Khan, Khoa Nguyen, Antonis Michalas | Published: 2023-01-20
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
Authors: Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso | Published: 2023-01-18 | Updated: 2024-03-13
Command Line Interface Risk Modeling
Authors: Dr Anthony L. Faulds | Published: 2023-01-17