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
メンバーシップ推論
Membership Inference via Backdooring
Authors: Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang | Published: 2022-06-10
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?
Authors: Huiyu Li, Nicholas Ayache, Hervé Delingette | Published: 2022-06-07
Subject Membership Inference Attacks in Federated Learning
Authors: Anshuman Suri, Pallika Kanani, Virendra J. Marathe, Daniel W. Peterson | Published: 2022-06-07 | Updated: 2023-06-02
Dropbear: Machine Learning Marketplaces made Trustworthy with Byzantine Model Agreement
Authors: Alex Shamis, Peter Pietzuch, Antoine Delignat-Lavaud, Andrew Paverd, Manuel Costa | Published: 2022-05-31
SafeNet: The Unreasonable Effectiveness of Ensembles in Private Collaborative Learning
Authors: Harsh Chaudhari, Matthew Jagielski, Alina Oprea | Published: 2022-05-20 | Updated: 2022-09-08
A False Sense of Security? Revisiting the State of Machine Learning-Based Industrial Intrusion Detection
Authors: Dominik Kus, Eric Wagner, Jan Pennekamp, Konrad Wolsing, Ina Berenice Fink, Markus Dahlmanns, Klaus Wehrle, Martin Henze | Published: 2022-05-18
SoK: The Impact of Unlabelled Data in Cyberthreat Detection
Authors: Giovanni Apruzzese, Pavel Laskov, Aliya Tastemirova | Published: 2022-05-18
Lessons Learned: Defending Against Property Inference Attacks
Authors: Joshua Stock, Jens Wettlaufer, Daniel Demmler, Hannes Federrath | Published: 2022-05-18 | Updated: 2023-10-09
l-Leaks: Membership Inference Attacks with Logits
Authors: Shuhao Li, Yajie Wang, Yuanzhang Li, Yu-an Tan | Published: 2022-05-13