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
敵対的学習
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
Cybersecurity Anomaly Detection in Adversarial Environments
Authors: David A. Bierbrauer, Alexander Chang, Will Kritzer, Nathaniel D. Bastian | Published: 2021-05-14 | Updated: 2021-11-02
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Authors: Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan | Published: 2021-03-07
With False Friends Like These, Who Can Notice Mistakes?
Authors: Lue Tao, Lei Feng, Jinfeng Yi, Songcan Chen | Published: 2020-12-29 | Updated: 2021-12-13
Autoencoding Variational Autoencoder
Authors: A. Taylan Cemgil, Sumedh Ghaisas, Krishnamurthy Dvijotham, Sven Gowal, Pushmeet Kohli | Published: 2020-12-07
TrollHunter [Evader]: Automated Detection [Evasion] of Twitter Trolls During the COVID-19 Pandemic
Authors: Peter Jachim, Filipo Sharevski, Paige Treebridge | Published: 2020-12-04 | Updated: 2020-12-07
Channel Effects on Surrogate Models of Adversarial Attacks against Wireless Signal Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-12-03 | Updated: 2021-03-09