Maksym Andriushchenko
Maksym Andriushchenko
PhD student at EPFL
Verified email at - Homepage
Cited by
Cited by
Square attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko, F Croce, N Flammarion, M Hein
ECCV 2020, 2020
Formal guarantees on the robustness of a classifier against adversarial manipulation
M Hein, M Andriushchenko
NeurIPS 2017, 2017
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
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
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
M Mosbach, M Andriushchenko, D Klakow
ICLR 2021, 2021
Understanding and Improving Fast Adversarial Training
M Andriushchenko, N Flammarion
NeurIPS 2020, 2020
Provable Robustness of ReLU Networks via Maximization of Linear Regions
F Croce*, M Andriushchenko*, M Hein
AISTATS 2019, 2019
On the effectiveness of adversarial training against common corruptions
K Kireev*, M Andriushchenko*, N Flammarion
UAI 2022, 2021
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
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
M Andriushchenko, M Hein
NeurIPS 2019, 2019
Towards Understanding Sharpness-Aware Minimization
M Andriushchenko, N Flammarion
ICML 2022, 2022
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
SGD with Large Step Sizes Learns Sparse Features
M Andriushchenko, A Varre, L Pillaud-Vivien, N Flammarion
ICML 2023, 2022
A Modern Look at the Relationship between Sharpness and Generalization
M Andriushchenko, F Croce, M Müller, M Hein, N Flammarion
ICML 2023, 2023
#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:, 2022
Sharpness-Aware Minimization Leads to Low-Rank Features
M Andriushchenko, D Bahri, H Mobahi, N Flammarion
NeurIPS 2023, 2023
Adversarially robust visual fingerprinting and image provenance models
M Andriushchenko, J Collomosse, X Li, G Oxholm
US Patent App. 17/573,041, 2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
K Kireev, M Andriushchenko, C Troncoso, N Flammarion
NeurIPS 2023, 2023
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
Beacon-aug: A cross-library image augmentation toolbox
XR Li, Y Hold-Geoffroy, G Oxholm, KK Singh, Z Zhang, R Zhang, ..., 2021
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