Follow
Maksym Andriushchenko
Maksym Andriushchenko
PhD student at EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Formal guarantees on the robustness of a classifier against adversarial manipulation
M Hein, M Andriushchenko
NeurIPS 2017, 2017
4412017
Square attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko, F Croce, N Flammarion, M Hein
ECCV 2020, 2020
4022020
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem
M Hein, M Andriushchenko, J Bitterwolf
CVPR 2019 (oral), 2019
3472019
RobustBench: a standardized adversarial robustness benchmark
F Croce*, M Andriushchenko*, V Sehwag*, E Debenedetti*, N Flammarion, ...
NeurIPS 2021 Datasets and Benchmarks Track, Best Paper Honorable Mention …, 2021
2072021
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
M Mosbach, M Andriushchenko, D Klakow
ICLR 2021, 2021
1842021
Provable Robustness of ReLU Networks via Maximization of Linear Regions
F Croce*, M Andriushchenko*, M Hein
AISTATS 2019, 2019
1392019
Understanding and Improving Fast Adversarial Training
M Andriushchenko, N Flammarion
NeurIPS 2020, 2020
1332020
Logit Pairing Methods Can Fool Gradient-Based Attacks
M Mosbach*, M Andriushchenko*, T Trost, M Hein, D Klakow
NeurIPS 2018 Workshop on Security in Machine Learning, 2018
592018
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
M Andriushchenko, M Hein
NeurIPS 2019, 2019
492019
On the effectiveness of adversarial training against common corruptions
K Kireev*, M Andriushchenko*, N Flammarion
UAI 2022, 2022
372022
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
F Croce, M Andriushchenko, ND Singh, N Flammarion, M Hein
AAAI 2022, 2022
322022
Towards Understanding Sharpness-Aware Minimization
M Andriushchenko, N Flammarion
ICML 2022, 2022
102022
#ScienceForUkraine: an Initiative to Support the Ukrainian Academic Community. “3 Months Since Russia’s Invasion in Ukraine”, February 26 – May 31, 2022
M Rose, S Reinsone, M Andriushchenko, M Bartosiak, A Bobak, L Drury, ...
Available at SSRN: https://ssrn.com/abstract=4139263, 2022
22022
SGD with large step sizes learns sparse features
M Andriushchenko, A Varre, L Pillaud-Vivien, N Flammarion
arXiv preprint arXiv:2210.05337, 2022
12022
ARIA: Adversarially Robust Image Attribution for Content Provenance
M Andriushchenko, XR Li, G Oxholm, T Gittings, T Bui, N Flammarion, ...
CVPR 2022 Workshop on Media Forensics, 2022
2022
Beacon-aug: A cross-library image augmentation toolbox
XR Li, Y Hold-Geoffroy, G Oxholm, KK Singh, Z Zhang, R Zhang, ...
https://github.com/adobe-research/beacon-aug, 2021
2021
The system can't perform the operation now. Try again later.
Articles 1–16