Publications

Andy K. Zhang, Joey Ji, Celeste Menders, Riya Dulepet, Thomas Qin, Ron Y. Wang, Junrong Wu, Kyleen Liao, Jiliang Li, Jinghan Hu, Sara Hong, Nardos Demilew, Shivatmica Murgai, Jason Tran, Nishka Kacheria, Ethan Ho, Denis Liu, Lauren McLane, Olivia Bruvik, Dai-Rong Han, Seungwoo Kim, Akhil Vyas, Cuiyuanxiu Chen, Ryan Li, Weiran Xu, Jonathan Z. Ye, Prerit Choudhary, Siddharth M. Bhatia, Vikram Sivashankar, Yuxuan Bao, Dawn Song, Dan Boneh, Daniel E. Ho, Percy Liang (2025). BountyBench: Dollar Impact of AI Agent Attackers and Defenders on Real-World Cybersecurity Systems. In Proceedings of the 39th Conference on Neural Information Processing Systems (NeurIPS), 2025.

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Jiliang Li, Yifan Zhang, Yu Huang, Kevin Leach (2025). MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning. In Proceedings of the 10th IEEE European Symposium on Security and Privacy (Euro S&P), 2025..

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Zihan Fang, Jiliang Li, Anda Liang, Gina R. Bai, Yu Huang (2025). A Comparative Study on ChatGPT and Checklist as Support Tools for Unit Testing Education. In Proceedings of the 33rd ACM International Conference on the Foundations of Software Engineering (FSE), 2025.

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Yifan Zhang, Jiliang Li, Zachary Karas, Aakash Bansal, Toby Jia-Jun Li, Collin McMillan, Kevin Leach, Yu Huang (2024). EyeTrans: Merging Human and Machine Attention for Neural Code Summarization. In Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE), 2024.

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Jiliang Li, Yifan Zhang, Zachary Karas, Collin McMillan, Kevin Leach, Yu Huang (2024). Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization. In Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension (ICPC), 2024.

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