Francesco Croce

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 48

Top Topics

Detecting Malicious

High Robustness

Digital Image Watermarking

Top Venues

Publications

Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion
Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
Francesco Croce, Matthias Hein
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. SaTML (2024)
Hao Zhao, Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion
Is In-Context Learning Sufficient for Instruction Following in LLMs? CoRR (2024)
Javier Rando, Francesco Croce, Krystof Mitka, Stepan Shabalin, Maksym Andriushchenko, Nicolas Flammarion, Florian Tramèr
Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs. CoRR (2024)
Naman D. Singh, Francesco Croce, Matthias Hein
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models. CoRR (2023)
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CoRR (2023)
Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion
A modern look at the relationship between sharpness and generalization. CoRR (2023)
Maksym Andriushchenko, Francesco Croce, Maximilian Müller, Matthias Hein, Nicolas Flammarion
A Modern Look at the Relationship between Sharpness and Generalization. ICML (2023)
Francesco Croce, Sylvestre-Alvise Rebuffi, Evan Shelhamer, Sven Gowal
Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts. CVPR (2023)
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
Revisiting adapters with adversarial training. ICLR (2023)
Francesco Croce, Matthias Hein
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models. CoRR (2023)
Naman Deep Singh, Francesco Croce, Matthias Hein
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models. NeurIPS (2023)
Francesco Croce, Naman D. Singh, Matthias Hein
Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models. CoRR (2023)
Francesco Croce, Matthias Hein
On the interplay of adversarial robustness and architecture components: patches, convolution and attention. CoRR (2022)
Sylvestre-Alvise Rebuffi, Francesco Croce, Sven Gowal
Revisiting adapters with adversarial training. CoRR (2022)
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)
Francesco Croce, Matthias Hein
-Threat Models via Quick Fine-Tuning of Robust Classifiers. ICML (2022)
Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein
Diffusion Visual Counterfactual Explanations. NeurIPS (2022)
Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein
Diffusion Visual Counterfactual Explanations. CoRR (2022)
Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein
Sparse Visual Counterfactual Explanations in Image Space. CoRR (2022)
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. CoRR (2022)
Francesco Croce, Sven Gowal, Thomas Brunner, Evan Shelhamer, Matthias Hein, A. Taylan Cemgil
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses. ICML (2022)
Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein
Sparse Visual Counterfactual Explanations in Image Space. GCPR (2022)
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)
Francesco Croce, Matthias Hein
-APGD for Sparse Adversarial Attacks on Image Classifiers. ICML (2021)
Francesco Croce, Matthias Hein
-threat models at the price of one and how to quickly fine-tune robust models to another threat model. CoRR (2021)
Francesco Croce, Matthias Hein
-APGD for sparse adversarial attacks on image classifiers. CoRR (2021)
Francesco Croce, Matthias Hein
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. ICML (2020)
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 (2020)
Francesco Croce, Matthias Hein
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. ICML (2020)
Francesco Croce, Matthias Hein
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks. CoRR (2020)
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) (2020)
Francesco Croce, Matthias Hein
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$. ICLR (2020)
Francesco Croce, Maksym Andriushchenko, Vikash Sehwag, Nicolas Flammarion, Mung Chiang, Prateek Mittal, Matthias Hein
RobustBench: a standardized adversarial robustness benchmark. CoRR (2020)
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein
Square Attack: A Query-Efficient Black-Box Adversarial Attack via Random Search. ECCV (23) (2020)
Francesco Croce, Maksym Andriushchenko, Matthias Hein
Provable Robustness of ReLU networks via Maximization of Linear Regions. AISTATS (2019)
Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein
Square Attack: a query-efficient black-box adversarial attack via random search. CoRR (2019)
Francesco Croce, Jonas Rauber, Matthias Hein
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks. CoRR (2019)
Francesco Croce, Matthias Hein
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack. CoRR (2019)
Francesco Croce, Matthias Hein
Sparse and Imperceivable Adversarial Attacks. CoRR (2019)
Francesco Croce, Matthias Hein
-perturbations for p≥1. CoRR (2019)
Francesco Croce, Matthias Hein
Sparse and Imperceivable Adversarial Attacks. ICCV (2019)
Francesco Croce, Maksym Andriushchenko, Matthias Hein
Provable Robustness of ReLU networks via Maximization of Linear Regions. CoRR (2018)
Francesco Croce, Matthias Hein
A randomized gradient-free attack on ReLU networks. CoRR (2018)
Francesco Croce, Matthias Hein
A Randomized Gradient-Free Attack on ReLU Networks. GCPR (2018)
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)