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Francesco Croce
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2020 – today
- 2024
- [b1]Francesco Croce:
Evaluating and Improving the Robustness of Image Classifiers against Adversarial Attacks. University of Tübingen, Germany, 2024 - [c22]Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein:
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models. ICML 2024 - [c21]Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion:
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning. ICML 2024 - [c20]Francesco Croce, Matthias Hein:
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. SaTML 2024: 425-442 - [i28]Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion:
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning. CoRR abs/2402.04833 (2024) - [i27]Christian Schlarmann, Naman Deep Singh, Francesco Croce, Matthias Hein:
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models. CoRR abs/2402.12336 (2024) - [i26]Patrick Chao, Edoardo Debenedetti, Alexander Robey, Maksym Andriushchenko, Francesco Croce, Vikash Sehwag, Edgar Dobriban, Nicolas Flammarion, George J. Pappas, Florian Tramèr, Hamed Hassani, Eric Wong:
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models. CoRR abs/2404.01318 (2024) - [i25]Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion:
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks. CoRR abs/2404.02151 (2024) - [i24]Javier Rando, Francesco Croce, Krystof Mitka, Stepan Shabalin, Maksym Andriushchenko, Nicolas Flammarion, Florian Tramèr:
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs. CoRR abs/2404.14461 (2024) - [i23]Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion:
Is In-Context Learning Sufficient for Instruction Following in LLMs? CoRR abs/2405.19874 (2024) - 2023
- [c19]Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal:
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR 2023: 12313-12323 - [c18]Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal:
Revisiting adapters with adversarial training. ICLR 2023 - [c17]Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion:
A Modern Look at the Relationship between Sharpness and Generalization. ICML 2023: 840-902 - [c16]Naman Deep Singh, Francesco Croce, Matthias Hein:
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models. NeurIPS 2023 - [i22]Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion:
A modern look at the relationship between sharpness and generalization. CoRR abs/2302.07011 (2023) - [i21]Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal:
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR abs/2302.10164 (2023) - [i20]Naman D. Singh, Francesco Croce, Matthias Hein:
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models. CoRR abs/2303.01870 (2023) - [i19]Francesco Croce, Naman D. Singh, Matthias Hein:
Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models. CoRR abs/2306.12941 (2023) - [i18]Francesco Croce, Matthias Hein:
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. CoRR abs/2311.14450 (2023) - 2022
- [c15]Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein:
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks. AAAI 2022: 6437-6445 - [c14]Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein:
Sparse Visual Counterfactual Explanations in Image Space. GCPR 2022: 133-148 - [c13]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML 2022: 4421-4435 - [c12]Francesco Croce, Matthias Hein:
Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifiers. ICML 2022: 4436-4454 - [c11]Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein:
Diffusion Visual Counterfactual Explanations. NeurIPS 2022 - [i17]Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil:
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR abs/2202.13711 (2022) - [i16]Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein:
Sparse Visual Counterfactual Explanations in Image Space. CoRR abs/2205.07972 (2022) - [i15]Francesco Croce, Matthias Hein:
On the interplay of adversarial robustness and architecture components: patches, convolution and attention. CoRR abs/2209.06953 (2022) - [i14]Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal:
Revisiting adapters with adversarial training. CoRR abs/2210.04886 (2022) - [i13]Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein:
Diffusion Visual Counterfactual Explanations. CoRR abs/2210.11841 (2022) - 2021
- [c10]Francesco Croce, Matthias Hein:
Mind the Box: l1-APGD for Sparse Adversarial Attacks on Image Classifiers. ICML 2021: 2201-2211 - [c9]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Edoardo Debenedetti, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. NeurIPS Datasets and Benchmarks 2021 - [i12]Francesco Croce, Matthias Hein:
Mind the box: l1-APGD for sparse adversarial attacks on image classifiers. CoRR abs/2103.01208 (2021) - [i11]Francesco Croce, Matthias Hein:
Adversarial robustness against multiple lp-threat models at the price of one and how to quickly fine-tune robust models to another threat model. CoRR abs/2105.12508 (2021) - 2020
- [j1]Francesco Croce, Jonas Rauber, Matthias Hein:
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks. Int. J. Comput. Vis. 128(4): 1028-1046 (2020) - [c8]Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein:
Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search. ECCV (23) 2020: 484-501 - [c7]Francesco Croce, Matthias Hein:
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$. ICLR 2020 - [c6]Francesco Croce, Matthias Hein:
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. ICML 2020: 2196-2205 - [c5]Francesco Croce, Matthias Hein:
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. ICML 2020: 2206-2216 - [i10]Francesco Croce, Matthias Hein:
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. CoRR abs/2003.01690 (2020) - [i9]Francesco Croce, Maksym Andriushchenko, Naman D. Singh, Nicolas Flammarion, Matthias Hein:
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks. CoRR abs/2006.12834 (2020) - [i8]Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein:
RobustBench: a standardized adversarial robustness benchmark. CoRR abs/2010.09670 (2020)
2010 – 2019
- 2019
- [c4]Francesco Croce, Maksym Andriushchenko, Matthias Hein:
Provable Robustness of ReLU networks via Maximization of Linear Regions. AISTATS 2019: 2057-2066 - [c3]Francesco Croce, Matthias Hein:
Sparse and Imperceivable Adversarial Attacks. ICCV 2019: 4723-4731 - [i7]Francesco Croce, Jonas Rauber, Matthias Hein:
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks. CoRR abs/1903.11359 (2019) - [i6]Francesco Croce, Matthias Hein:
Provable robustness against all adversarial lp-perturbations for p≥1. CoRR abs/1905.11213 (2019) - [i5]Francesco Croce, Matthias Hein:
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. CoRR abs/1907.02044 (2019) - [i4]Francesco Croce, Matthias Hein:
Sparse and Imperceivable Adversarial Attacks. CoRR abs/1909.05040 (2019) - [i3]Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein:
Square Attack: a query-efficient black-box adversarial attack via random search. CoRR abs/1912.00049 (2019) - 2018
- [c2]Francesco Croce, Matthias Hein:
A Randomized Gradient-Free Attack on ReLU Networks. GCPR 2018: 215-227 - [i2]Francesco Croce, Maksym Andriushchenko, Matthias Hein:
Provable Robustness of ReLU networks via Maximization of Linear Regions. CoRR abs/1810.07481 (2018) - [i1]Francesco Croce, Matthias Hein:
A randomized gradient-free attack on ReLU networks. CoRR abs/1811.11493 (2018)
2000 – 2009
- 2001
- [c1]Gianpiero Di Girolamo, Paolo Maldari, Francesco Croce, Michela Alberti:
INTEGRAL Mission Control System (IMCS): Technology and Integrated Solutions for Supporting a Complex Scientific Mission. EUROMICRO 2001: 154-
Coauthor Index
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