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Croce, Francesco

  1. Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks
    2024/04/02 by Maksym Andriushchenko, Francesco Croce, Andriushchenko, Maksym +3 · 4 voices · 93 citations
    Computer Science · Engineering · Mathematics · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information and Cyber Security #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Safety Systems Engineering in Autonomy #cs.AI #cs.CR #cs.LG #stat.ML
  2. Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
    2020/03/03 by Francesco Croce, Croce, Francesco, Matthias Hein +1 · 106 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · Engineering · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Integrated Circuits and Semiconductor Failure Analysis
  3. Square Attack: a query-efficient black-box adversarial attack via random search
    2019/11/29 by Andriushchenko, Maksym, Croce, Francesco, Flammarion, Nicolas +1 · 59 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  4. RobustBench: a standardized adversarial robustness benchmark
    2020/10/19 by Francesco Croce, Maksym Andriushchenko, Croce, Francesco +13 · 53 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Cardiac Arrest and Resuscitation #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  5. JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models
    2024/03/28 by Patrick Chao, Edoardo Debenedetti, Chao, Patrick +21 · 99 citations
    Computer Science · #Authorship Attribution and Profiling #Cryptography and Security (cs.CR) #Digital and Cyber Forensics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques
  6. Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning
    2024/02/07 by Hao Zhao, Maksym Andriushchenko, Zhao, Hao +5 · 2 voices · 18 citations
    Computer Science · Engineering · #Computation and Language (cs.CL) #Experimental Learning in Engineering #FOS: Computer and information sciences #cs.CL
  7. Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
    2019/07/03 by Francesco Croce, Croce, Francesco, Matthias Hein +1 · 19 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  8. Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
    2024/02/19 by Schlarmann, Christian, Singh, Naman Deep, Croce, Francesco +1 · 26 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. A Modern Look at the Relationship between Sharpness and Generalization
    2023/02/14 by Maksym Andriushchenko, Andriushchenko, Maksym, Francesco Croce +7 · 16 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Image Processing Techniques and Applications #Industrial Vision Systems and Defect Detection #Machine Learning (cs.LG) #Optical measurement and interference techniques
  10. Diffusion Visual Counterfactual Explanations
    2022/10/21 by Maximilian Augustin, Valentyn Boreiko, Augustin, Maximilian +5 · 13 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
    2023/03/03 by Naman D Singh, Francesco Croce, Singh, Naman D +3 · 10 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. Sparse and Imperceivable Adversarial Attacks
    2019/09/11 by Croce, Francesco, Hein, Matthias · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
    2020/06/23 by Croce, Francesco, Andriushchenko, Maksym, Singh, Naman D. +2 · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. Adversarial Robustness against Multiple and Single lp-Threat Models via Quick Fine-Tuning of Robust Classifiers
    2021/05/26 by Croce, Francesco, Hein, Matthias · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. Mind the box: l1-APGD for sparse adversarial attacks on image classifiers
    2021/03/01 by Croce, Francesco, Hein, Matthias · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
    2022/02/28 by Francesco Croce, Croce, Francesco, Sven Gowal +8 · 4 citations
    Computer Science · Medicine · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Imaging Techniques and Applications
  17. OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents
    2025/06/17 by Kuntz, Thomas, Duzan, Agatha, Zhao, Hao +4 · 14 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
  18. Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning
    2025/05/31 by Sara Ghazanfari, Ghazanfari, Sara, Francesco Croce +9 · 10 citations
    Computer Science · #Multimodal Machine Learning Applications #Video Analysis and Summarization #Natural Language Processing Techniques
  19. Is In-Context Learning Sufficient for Instruction Following in LLMs?
    2024/05/30 by Hao Zhao, Maksym Andriushchenko, Zhao, Hao +5 · 1 voice · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
  20. Competition Report: Finding Universal Jailbreak Backdoors in Aligned LLMs
    2024/04/22 by Javier Rando, Rando, Javier, Francesco Croce +11 · 4 citations
    Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Law, AI, and Intellectual Property #Law, Economics, and Judicial Systems #Machine Learning (cs.LG)
  21. Seasoning Model Soups for Robustness to Adversarial and Natural Distribution Shifts
    2023/02/20 by Croce, Francesco, Rebuffi, Sylvestre-Alvise, Shelhamer, Evan +1 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  22. Provable Robustness of ReLU networks via Maximization of Linear Regions
    2018/10/17 by Croce, Francesco, Andriushchenko, Maksym, Hein, Matthias · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  23. A randomized gradient-free attack on ReLU networks
    2018/11/28 by Croce, Francesco, Hein, Matthias · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Scaling up the randomized gradient-free adversarial attack reveals\n overestimation of robustness using established attacks
    2019/03/27 by Francesco Croce, Croce, Francesco, Jonas Rauber +3 · 1 citation
    Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science #Advanced Neural Network Applications
  25. Unlearning That Lasts: Utility-Preserving, Robust, and Almost Irreversible Forgetting in LLMs
    2025/09/02 by Naman Deep Singh, Singh, Naman Deep, Maximilian Müller +5 · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Topic Modeling
  26. Evaluating the Robustness of the "Ensemble Everything Everywhere" Defense
    2024/11/22 by Jie Zhang, Zhang, Jie, Christian Schlarmann +11 · 2 voices · 1 citation
    #cs.LG #cs.CR
  27. Revisiting adapters with adversarial training
    2022/10/10 by Sylvestre-Alvise Rebuffi, Rebuffi, Sylvestre-Alvise, Francesco Croce +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  28. Perturb and Recover: Fine-tuning for Effective Backdoor Removal from CLIP
    2024/12/01 by Naman Deep Singh, Singh, Naman Deep, Francesco Croce +3 · 2 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Real-time simulation and control systems
  29. Adversarially Robust CLIP Models Can Induce Better (Robust) Perceptual Metrics
    2025/02/17 by Francesco Croce, Christian Schlarmann, Croce, Francesco +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning