Francesco Croce
Francesco Croce
University of Tübingen
Verified email at cs.uni-saarland.de
Title
Cited by
Cited by
Year
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
F Croce, M Hein
ICML 2020, 2020
902020
Provable robustness of ReLU networks via maximization of linear regions
F Croce*, M Andriushchenko*, M Hein
AISTATS 2019, 2018
792018
Square Attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko*, F Croce*, N Flammarion, M Hein
ECCV 2020, 2019
702019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
F Croce, M Hein
ICML 2020, 2019
432019
Sparse and Imperceivable Adversarial Attacks
F Croce, M Hein
ICCV 2019, 2019
392019
Provable robustness against all adversarial lp-perturbations for p≥1
F Croce, M Hein
ICLR 2020, 2019
22*2019
A randomized gradient-free attack on ReLU networks
F Croce, M Hein
GCPR 2018, 2018
112018
RobustBench: a standardized adversarial robustness benchmark
F Croce, M Andriushchenko, V Sehwag, N Flammarion, M Chiang, ...
arXiv preprint arXiv:2010.09670, 2020
92020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
F Croce, M Andriushchenko, ND Singh, N Flammarion, M Hein
arXiv preprint arXiv:2006.12834, 2020
72020
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks
F Croce*, J Rauber*, M Hein
International Journal of Computer Vision, 2019
72019
Mind the box: -APGD for sparse adversarial attacks on image classifiers
F Croce, M Hein
arXiv preprint arXiv:2103.01208, 2021
2021
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Articles 1–11