Machine Learning with Confidential Computing: A Systematization of Knowledge
Authors: Fan Mo, Zahra Tarkhani, Hamed Haddadi | Published: 2022-08-22 | Updated: 2024-06-03
Membership Inference
Inferring Sensitive Attributes from Model Explanations
Authors: Vasisht Duddu, Antoine Boutet | Published: 2022-08-21 | Updated: 2022-09-07
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
Authors: Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra | Published: 2022-08-01 | Updated: 2024-02-17
Membership Inference Attacks via Adversarial Examples
Authors: Hamid Jalalzai, Elie Kadoche, Rémi Leluc, Vincent Plassier | Published: 2022-07-27 | Updated: 2022-11-23
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
Authors: Xinlei He, Hongbin Liu, Neil Zhenqiang Gong, Yang Zhang | Published: 2022-07-25
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
Authors: Dingfan Chen, Ning Yu, Mario Fritz | Published: 2022-07-12
Matryoshka: Stealing Functionality of Private ML Data by Hiding Models in Model
Authors: Xudong Pan, Yifan Yan, Shengyao Zhang, Mi Zhang, Min Yang | Published: 2022-06-29
A Framework for Understanding Model Extraction Attack and Defense
Authors: Xun Xian, Mingyi Hong, Jie Ding | Published: 2022-06-23
The Privacy Onion Effect: Memorization is Relative
Authors: Nicholas Carlini, Matthew Jagielski, Chiyuan Zhang, Nicolas Papernot, Andreas Terzis, Florian Tramer | Published: 2022-06-21 | Updated: 2022-06-22
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences
Authors: Daryna Oliynyk, Rudolf Mayer, Andreas Rauber | Published: 2022-06-16 | Updated: 2023-06-06