Lessons Learned: Defending Against Property Inference Attacks
Authors: Joshua Stock, Jens Wettlaufer, Daniel Demmler, Hannes Federrath | Published: 2022-05-18 | Updated: 2023-10-09
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l-Leaks: Membership Inference Attacks with Logits
Authors: Shuhao Li, Yajie Wang, Yuanzhang Li, Yu-an Tan | Published: 2022-05-13
How to Combine Membership-Inference Attacks on Multiple Updated Models
Authors: Matthew Jagielski, Stanley Wu, Alina Oprea, Jonathan Ullman, Roxana Geambasu | Published: 2022-05-12
Towards Data-Free Model Stealing in a Hard Label Setting
Authors: Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu | Published: 2022-04-23
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems
Authors: Shail Dave, Alberto Marchisio, Muhammad Abdullah Hanif, Amira Guesmi, Aviral Shrivastava, Ihsen Alouani, Muhammad Shafique | Published: 2022-04-18
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets
Authors: Florian Tramèr, Reza Shokri, Ayrton San Joaquin, Hoang Le, Matthew Jagielski, Sanghyun Hong, Nicholas Carlini | Published: 2022-03-31 | Updated: 2022-10-06
Attacker Attribution of Audio Deepfakes
Authors: Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams | Published: 2022-03-28
One Parameter Defense — Defending against Data Inference Attacks via Differential Privacy
Authors: Dayong Ye, Sheng Shen, Tianqing Zhu, Bo Liu, Wanlei Zhou | Published: 2022-03-13
Defending against Reconstruction Attacks with Rényi Differential Privacy
Authors: Pierre Stock, Igor Shilov, Ilya Mironov, Alexandre Sablayrolles | Published: 2022-02-15
SSLGuard: A Watermarking Scheme for Self-supervised Learning Pre-trained Encoders
Authors: Tianshuo Cong, Xinlei He, Yang Zhang | Published: 2022-01-27 | Updated: 2022-08-31