Croce, Francesco

Jailbreaking Leading Safety-Aligned LLMs with Simple Adaptive Attacks

Andriushchenko, M., Croce, F., & Flammarion, N. (2024) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 396

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

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Zhao, H., Andriushchenko, M., Croce, F., & Flammarion, N. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 2