Wong, Eric

Jailbreaking Black Box Large Language Models in Twenty Queries

Chao, P., Robey, A., Dobriban, E., Hassani, H., Pappas, G. J., & Wong, E. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 522

Faithful Chain-of-Thought Reasoning

Lyu, Q., Havaldar, S., Stein, A., Zhang, L., Rao, D., Wong, E., Apidianaki, M., & Callison-Burch, C. (2023) · Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 201

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

Wong, E., Schmidt, F. R., & Kolter, J. Z. (2019) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 145

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Robey, A., Wong, E., Hassani, H., & Pappas, G. J. (2023) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 37

Faithful Chain-of-Thought Reasoning

Lyu, Q., Havaldar, S., Stein, A., Zhang, L., Rao, D., Wong, E., Apidianaki, M., & Callison-Burch, C. (2023) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 23

Instruction Following by Principled Boosting Attention of Large Language Models

Guardieiro, V., Khare, A., Stein, A., & Wong, E. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0