Distribution inference risks: Identifying and mitigating sources of leakage
Authors: Valentin Hartmann, Léo Meynent, Maxime Peyrard, Dimitrios Dimitriadis, Shruti Tople, Robert West | Published: 2022-09-18
Literature Database
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data
Authors: Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin | Published: 2022-09-18
Characterizing Internal Evasion Attacks in Federated Learning
Authors: Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong | Published: 2022-09-17 | Updated: 2023-10-21
A Secure Healthcare 5.0 System Based on Blockchain Technology Entangled with Federated Learning Technique
Authors: Abdur Rehman, Sagheer Abbas, M. A. Khan, Taher M. Ghazal, Khan Muhammad Adnan, Amir Mosavi | Published: 2022-09-16
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Authors: Li Yang, Abdallah Shami | Published: 2022-09-16
Dataset Inference for Self-Supervised Models
Authors: Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot | Published: 2022-09-16 | Updated: 2023-01-13
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation
Authors: Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen | Published: 2022-09-16
M^4I: Multi-modal Models Membership Inference
Authors: Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue | Published: 2022-09-15
Robust Transferable Feature Extractors: Learning to Defend Pre-Trained Networks Against White Box Adversaries
Authors: Alexander Cann, Ian Colbert, Ihab Amer | Published: 2022-09-14
Data Privacy and Trustworthy Machine Learning
Authors: Martin Strobel, Reza Shokri | Published: 2022-09-14