URET: Universal Robustness Evaluation Toolkit (for Evasion)
Authors: Kevin Eykholt, Taesung Lee, Douglas Schales, Jiyong Jang, Ian Molloy, Masha Zorin | Published: 2023-08-03
敵対的攻撃
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Authors: Jun Guo, Aishan Liu, Xingyu Zheng, Siyuan Liang, Yisong Xiao, Yichao Wu, Xianglong Liu | Published: 2023-08-02 | Updated: 2023-08-03
Robust Linear Regression: Phase-Transitions and Precise Tradeoffs for General Norms
Authors: Elvis Dohmatob, Meyer Scetbon | Published: 2023-08-01
Doubly Robust Instance-Reweighted Adversarial Training
Authors: Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang | Published: 2023-08-01
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks
Authors: Khushnaseeb Roshan, Aasim Zafar, Shiekh Burhan Ul Haque | Published: 2023-07-31
On Neural Network approximation of ideal adversarial attack and convergence of adversarial training
Authors: Rajdeep Haldar, Qifan Song | Published: 2023-07-30
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives
Authors: Danele Lunghi, Alkis Simitsis, Olivier Caelen, Gianluca Bontempi | Published: 2023-07-03
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
Authors: Pranav Dahiya, Ilia Shumailov, Ross Anderson | Published: 2023-06-24 | Updated: 2024-02-10
Boosting Model Inversion Attacks with Adversarial Examples
Authors: Shuai Zhou, Tianqing Zhu, Dayong Ye, Xin Yu, Wanlei Zhou | Published: 2023-06-24
Creating Valid Adversarial Examples of Malware
Authors: Matouš Kozák, Martin Jureček, Mark Stamp, Fabio Di Troia | Published: 2023-06-23