ROSE: A RObust and SEcure DNN Watermarking
Authors: Kassem Kallas, Teddy Furon | Published: 2022-06-22
Adversarial Learning
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
Architectural Backdoors in Neural Networks
Authors: Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot | Published: 2022-06-15
Reconstructing Training Data from Trained Neural Networks
Authors: Niv Haim, Gal Vardi, Gilad Yehudai, Ohad Shamir, Michal Irani | Published: 2022-06-15 | Updated: 2022-12-05
Learn to Adapt: Robust Drift Detection in Security Domain
Authors: Aditya Kuppa, Nhien-An Le-Khac | Published: 2022-06-15
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Authors: Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang | Published: 2022-03-29
Detect & Reject for Transferability of Black-box Adversarial Attacks Against Network Intrusion Detection Systems
Authors: Islam Debicha, Thibault Debatty, Jean-Michel Dricot, Wim Mees, Tayeb Kenaza | Published: 2021-12-22
Robustness of Graph Neural Networks at Scale
Authors: Simon Geisler, Tobias Schmidt, Hakan Şirin, Daniel Zügner, Aleksandar Bojchevski, Stephan Günnemann | Published: 2021-10-26 | Updated: 2023-04-30
The mathematics of adversarial attacks in AI — Why deep learning is unstable despite the existence of stable neural networks
Authors: Alexander Bastounis, Anders C Hansen, Verner Vlačić | Published: 2021-09-13 | Updated: 2025-03-26
Formalizing and Estimating Distribution Inference Risks
Authors: Anshuman Suri, David Evans | Published: 2021-09-13 | Updated: 2022-07-05