Prati
Francesco Croce
Francesco Croce
EPFL
Potvrđena adresa e-pošte na cs.uni-saarland.de
Naslov
Citirano
Citirano
Godina
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
F Croce, M Hein
ICML 2020, 2020
20922020
Square Attack: a query-efficient black-box adversarial attack via random search
M Andriushchenko*, F Croce*, N Flammarion, M Hein
ECCV 2020, 2019
11512019
Robustbench: a standardized adversarial robustness benchmark
F Croce*, M Andriushchenko*, V Sehwag*, E Debenedetti*, N Flammarion, ...
NeurIPS 2021 Datasets and Benchmarks Track, 2020
7942020
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
F Croce, M Hein
ICML 2020, 2019
5622019
Sparse and Imperceivable Adversarial Attacks
F Croce, M Hein
ICCV 2019, 2019
2502019
Provable robustness of ReLU networks via maximization of linear regions
F Croce*, M Andriushchenko*, M Hein
AISTATS 2019, 2018
1932018
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, 2020
1202020
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
M Andriushchenko, F Croce, N Flammarion
arXiv preprint arXiv:2404.02151, 2024
1192024
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
P Chao, E Debenedetti, A Robey, M Andriushchenko, F Croce, V Sehwag, ...
arXiv preprint arXiv:2404.01318, 2024
1152024
Provable robustness against all adversarial lp-perturbations for p≥1
F Croce, M Hein
ICLR 2020, 2019
842019
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
F Croce*, S Gowal*, T Brunner*, E Shelhamer*, M Hein, T Cemgil
ICML 2022, 2022
812022
Diffusion visual counterfactual explanations
M Augustin, V Boreiko, F Croce, M Hein
Advances in Neural Information Processing Systems 35, 364-377, 2022
752022
Mind the box: -APGD for sparse adversarial attacks on image classifiers
F Croce, M Hein
ICML 2021, 2021
722021
A modern look at the relationship between sharpness and generalization
M Andriushchenko, F Croce, M Müller, M Hein, N Flammarion
arXiv preprint arXiv:2302.07011, 2023
662023
Revisiting adversarial training for imagenet: Architectures, training and generalization across threat models
ND Singh, F Croce, M Hein
Advances in Neural Information Processing Systems 36, 13931-13955, 2023
612023
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
372019
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
H Zhao, M Andriushchenko, F Croce, N Flammarion
arXiv preprint arXiv:2402.04833, 2024
332024
A randomized gradient-free attack on ReLU networks
F Croce, M Hein
GCPR 2018, 2018
322018
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
C Schlarmann, ND Singh, F Croce, M Hein
arXiv preprint arXiv:2402.12336, 2024
312024
Sparse Visual Counterfactual Explanations in Image Space
V Boreiko, M Augustin, F Croce, P Berens, M Hein
GCPR 2022, 2022
302022
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