Guo, Wenbo

21 publications

AAAI 2025 3CAD: A Large-Scale Real-World 3c Product Dataset for Unsupervised Anomaly Detection Enquan Yang, Peng Xing, Hanyang Sun, Wenbo Guo, Yuanwei Ma, Zechao Li, Dan Zeng

NeurIPS 2025 BlockScan: Detecting Anomalies in Blockchain Transactions Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

NeurIPS 2025 Co-PatcheR: Collaborative Software Patching with Component-Specific Small Reasoning Models Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo

NeurIPS 2025 Demystifying Network Foundation Models Roman Beltiukov, Satyandra Guthula, Wenbo Guo, Walter Willinger, Arpit Gupta

ICLR 2025 F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo

ICML 2025 MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang

ICML 2025 PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo

NeurIPS 2025 SECODEPLT: A Unified Benchmark for Evaluating the Security Risks and Capabilities of Code GenAI Yuzhou Nie, Zhun Wang, Yu Yang, Ruizhe Jiang, Yuheng Tang, Xander Davies, Yarin Gal, Bo Li, Wenbo Guo, Dawn Song

NeurIPS 2025 Temporal Logic-Based Multi-Vehicle Backdoor Attacks Against Offline RL Agents in End-to-End Autonomous Driving Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang

NeurIPS 2024 Data Free Backdoor Attacks Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song

ICML 2024 SHINE: Shielding Backdoors in Deep Reinforcement Learning Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

NeurIPS 2024 When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-Guided Search Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang

NeurIPS 2023 BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

NeurIPSW 2023 RAVE: Enabling Safety Verification for Realistic Deep Reinforcement Learning Systems Wenbo Guo, Taesung Lee, Kevin Eykholt, Jiyong Jiang

NeurIPS 2023 StateMask: Explaining Deep Reinforcement Learning Through State Mask Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing

ICML 2021 Adversarial Policy Learning in Two-Player Competitive Games Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing

IJCAI 2021 BACKDOORL: Backdoor Attack Against Competitive Reinforcement Learning Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

ICML 2021 DANCE: Enhancing Saliency Maps Using Decoys Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

NeurIPS 2021 EDGE: Explaining Deep Reinforcement Learning Policies Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing

ICML 2021 RNNRepair: Automatic RNN Repair via Model-Based Analysis Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing

NeurIPS 2018 Explaining Deep Learning Models -- a Bayesian Non-Parametric Approach Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin