Andriushchenko, Maksym
8 papers on CoChat
Most cited papers
- Verified
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
- Verified
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
- Verified
On the Stability of Fine-tuning BERT: Misconceptions, Explanations, and Strong Baselines
Mosbach, M., Andriushchenko, M., & Klakow, D. (2020) · arXiv
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 220
- Verified · note
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
- Verified
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
- Verified
Improving Alignment and Robustness with Circuit Breakers
Zou, A., Phan, L., Wang, J., Duenas, D., Lin, M., Andriushchenko, M., Wang, R., Kolter, Z., Fredrikson, M., & Hendrycks, D. (2024) · arXiv
Software System Performance and ReliabilityDistributed systems and fault tolerance
Cited by 19
- Verified
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
- Verified
Stealing Reasoning Traces from Proprietary LLM APIs
Panfilov, A., Schmotz, D., Shumailov, I., Beurer-Kellner, L., Schaeffer, J., Prabhu, A., Geiping, J., & Andriushchenko, M. (2026) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 0
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