Debenedetti, Edoardo

RobustBench: a standardized adversarial robustness benchmark

Croce, F., Andriushchenko, M., Sehwag, V., Debenedetti, E., Flammarion, N., Chiang, M., Mittal, P., & Hein, M. (2020) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 284

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G., Tramèr, F., et al. (2024) · Advances in Neural Information Processing Systems 37

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models

Chao, P., Debenedetti, E., Robey, A., Andriushchenko, M., Croce, F., Sehwag, V., Dobriban, E., Flammarion, N., Pappas, G. J., Tramer, F., et al. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 116

Defeating Prompt Injections by Design

Debenedetti, E., Shumailov, I., Fan, T., Hayes, J., Carlini, N., Fabian, D., Kern, C., Shi, C., Terzis, A., & Tramèr, F. (2026) · 2026 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML)

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 15

Privacy Side Channels in Machine Learning Systems

Debenedetti, E., Severi, G., Carlini, N., Choquette-Choo, C. A., Jagielski, M., Nasr, M., Wallace, E., & Tramèr, F. (2023) · arXiv

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 6

Design Patterns for Securing LLM Agents against Prompt Injections

Beurer-Kellner, L., Buesser, B., Creţu, A.-M., Debenedetti, E., Dobos, D., Fabian, D., Fischer, M., Froelicher, D., Grosse, K., Naeff, D., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 2

Adversarial Search Engine Optimization for Large Language Models

Nestaas, F., Debenedetti, E., & Tramèr, F. (2024) · arXiv

Adversarial Robustness in Machine LearningSpam and Phishing Detection

Cited by 1