Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial
Test Examples

Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples

10 July 2020

Adam Tauman Kalai

Papers citing "Beyond Perturbations: Learning Guarantees with Arbitrary Adversarial Test Examples"

11 / 11 papers shown

Title
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning Greg Gluch Shafi Goldwasser AAML 42 0 0 28 Apr 2025
Efficient Discrepancy Testing for Learning with Distribution Shift Gautam Chandrasekaran Adam R. Klivans Vasilis Kontonis Konstantinos Stavropoulos Arsen Vasilyan 40 1 0 13 Jun 2024
Tolerant Algorithms for Learning with Arbitrary Covariate Shift Surbhi Goel Abhishek Shetty Konstantinos Stavropoulos Arsen Vasilyan OOD 34 2 0 04 Jun 2024
Reliable learning in challenging environments Maria-Florina Balcan Steve Hanneke Rattana Pukdee Dravyansh Sharma OOD 30 4 0 06 Apr 2023
Data Models for Dataset Drift Controls in Machine Learning With Optical Images Luis Oala Marco Aversa Gabriel Nobis Kurt Willis Yoan Neuenschwander ... E. Pomarico Wojciech Samek Roderick Murray-Smith Christoph Clausen B. Sanguinetti 33 5 0 04 Nov 2022
Is Out-of-Distribution Detection Learnable? Zhen Fang Yixuan Li Jie Lu Jiahua Dong Bo Han Feng Liu OODD 39 125 0 26 Oct 2022
Robustly-reliable learners under poisoning attacks Maria-Florina Balcan Avrim Blum Steve Hanneke Dravyansh Sharma AAML OOD 26 14 0 08 Mar 2022
Adversarially Robust Learning with Tolerance H. Ashtiani Vinayak Pathak Ruth Urner AAML 26 9 0 02 Mar 2022
Towards Evaluating the Robustness of Neural Networks Learned by Transduction Jiefeng Chen Xi Wu Yang Guo Yingyu Liang S. Jha ELM AAML 20 15 0 27 Oct 2021
Transductive Robust Learning Guarantees Omar Montasser Steve Hanneke Nathan Srebro 26 13 0 20 Oct 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Mian Navid Kardan M. Shah AAML 36 236 0 01 Aug 2021