Francesco Croce
According to our database1,
Francesco Croce
authored at least 34 papers
between 2001 and 2024.
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Bibliography
2024
Evaluating and Improving the Robustness of Image Classifiers against Adversarial Attacks.
PhD thesis, 2024
CoRR, 2024
CoRR, 2024
Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models.
Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024
Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
2023
Robust Semantic Segmentation: Strong Adversarial Attacks and Fast Training of Robust Models.
CoRR, 2023
Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Adversarial Robustness against Multiple and Single l<sub>p</sub>-Threat Models via Quick Fine-Tuning of Robust Classifiers.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Pattern Recognition, 2022
Sparse-RS: A Versatile Framework for Query-Efficient Sparse Black-Box Adversarial Attacks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Adversarial robustness against multiple l<sub>p</sub>-threat models at the price of one and how to quickly fine-tune robust models to another threat model.
CoRR, 2021
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Mind the Box: l<sub>1</sub>-APGD for Sparse Adversarial Attacks on Image Classifiers.
Proceedings of the 38th International Conference on Machine Learning, 2021
2020
Scaling up the Randomized Gradient-Free Adversarial Attack Reveals Overestimation of Robustness Using Established Attacks.
Int. J. Comput. Vis., 2020
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
CoRR, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Pattern Recognition - 40th German Conference, 2018
2001
INTEGRAL Mission Control System (IMCS): Technology and Integrated Solutions for Supporting a Complex Scientific Mission.
Proceedings of the 27th EUROMICRO Conference 2001: A Net Odyssey, 2001