Architectural Backdoors in Neural Networks
Authors: Mikel Bober-Irizar, Ilia Shumailov, Yiren Zhao, Robert Mullins, Nicolas Papernot | Published: 2022-06-15
Adversarial Learning
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
On the Robustness of Domain Constraints
Authors: Ryan Sheatsley, Blaine Hoak, Eric Pauley, Yohan Beugin, Michael J. Weisman, Patrick McDaniel | Published: 2021-05-18 | Updated: 2021-11-07
Undistillable: Making A Nasty Teacher That CANNOT teach students
Authors: Haoyu Ma, Tianlong Chen, Ting-Kuei Hu, Chenyu You, Xiaohui Xie, Zhangyang Wang | Published: 2021-05-16