Wenbo Guo's Publications by Topic

🤖 Specialized Agents and LLMs for SE and Security

Frontier AI’s Impact on the Cybersecurity Landscape
Wenbo Guo, Yujin Potter†, Tianneng Shi, Zhun Wang, Andy Zhang, Dawn Song
AI in Cybersecurity benchmarks
SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI
Yuzhou Nie, Zhun Wang, Yu Yang, Ruizhe Jiang, Yuheng Tang, Xander Davies, Yarin Gal, Bo Li, Wenbo Guo, Dawn Song
CodeGen LLM Security Benchmark (Used by enterprise)
Co-PatcheR: Collaborative Software Patching with Component-specific Small Reasoning Models
Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo
Top 2 open-weighted models on SWE-bench-verified
PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo
In International Conference on Machine Learning (ICML'25)
Top 5 open-sourced tools on SWE-bench-verified

🛡️ Agent and LLM Security

LeakAgent: RL-based Red-teaming Agent for LLM Privacy Leakage
Yuzhou Nie, Zhun Wang, Ye Yu, Xian Wu, Xuandong Zhao, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
In Conference on Language Modeling (COLM'25)
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
In International Conference on Machine Learning (ICML'25)
Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs’ Ethical Boundaries
Jiahao Yu, Haozheng Luo, Yao-Chieh Hu, Yan Chen, Wenbo Guo, Han Liu, Xinyu Xing
In USENIX Security Symposium (USENIX Security'25)
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
In Annual Conference on Neural Information Processing Systems (NeurIPS'24)
TextGuard: Provable Defense against Backdoor Attacks on Text Classification
Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
In The Conference on Network and Distributed System Security Symposium (NDSS'24)

🔒 DRL/DNN Interpretability and Robustness

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
In International Conference on Learning Representations (ICLR'25)
DFBA: Data Free Backdoor Attacks
Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
In Annual Conference on Neural Information Processing Systems (NeurIPS'24)
SHINE: Shielding Backdoors in Deep Reinforcement Learning
Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song
In International Conference on Machine Learning (ICML'24)
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song
In Annual Conference on Neural Information Processing Systems (NeurIPS'23)
StateMask: Explaining Deep Reinforcement Learning through State Mask
Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing
In Annual Conference on Neural Information Processing Systems (NeurIPS'23)
RAVE: Enabling safety verification for realistic deep reinforcement learning systems
Wenbo Guo, Taesung Lee, Kevin Eykholt, Jiyong Jang
In Multi-Agent Security Workshop at NeurIPS'23
PATROL: Provable Defense against Adversarial Policy in Two-player Games
Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song
In USENIX Security Symposium (USENIX Security'23)
AIRS: Explanation for Deep Reinforcement Learning based Security Applications
Jiahao Yu, Wenbo Guo, Qi Qin, Gang Wang, Ting Wang, Xinyu Xing
In USENIX Security Symposium (USENIX Security'23)
Are Shortest Rationales the Best Explanations For Human Understanding?
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
In The Annual Meeting of the Association for Computational Linguistics (ACL'22)
EDGE: Explaining Deep Reinforcement Learning Policies
Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
In Annual Conference on Neural Information Processing Systems (NeurIPS'21)
Adversarial Policy Learning in Two-player Competitive Games
Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing
In The International Conference on Machine Learning (ICML'21)
DANCE: Enhancing saliency maps using decoys
Yang Lu**, Wenbo Guo**, Xinyu Xing, William Stafford Noble
In The International Conference on Machine Learning (ICML'21)
RNNRepair: Automatic RNN Repair via Model-based Analysis
Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Xinyu Xing, Yang Liu
In The International Conference on Machine Learning (ICML'21)
Adversarial Policy Training against Deep Reinforcement Learning
Wenbo Guo**, Xian Wu**, Hua Wei**, Xinyu Xing
In USENIX Security Symposium (USENIX Security'21)
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
In International Joint Conference on Artificial Intelligence (IJCAI'21)
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks
Wenbo Guo**, Lun Wang**, Yan Xu, Xinyu Xing, Min Du, Dawn Song
In IEEE International Conference on Data Mining (ICDM'20)
Ruling StarCraft Game Spitefully -- Exploiting the Blind Spot of AI-Powered Game Bots
Wenbo Guo, Xian Wu, Xinyu Xing, Jimmy Su
In The Blackhat USA (BlackHat USA'20)
Explaining Deep Learning Models -- A Bayesian Non-parametric Approach
Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
In Annual Conference on Neural Information Processing Systems (NeurIPS'18)
Defending against Adversarial Samples without Security through Obscurity
Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing.
In IEEE International Conference on Data Mining (ICDM'18)
Adversary Resistant Deep Neural Networks with an Application to Malware Detection
Wenbo Guo**, Qinglong Wang**, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
In ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'17)

🧠 DRL/DNN for Security

BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning
Wenxuan Shi, Hongwei Li, Jiahao Yu, Wenbo Guo, Xinyu Xing
In International Workshop on Search-Based and Fuzz Testing (ICSE SBFT'24)
Ranked Top 1
FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols
Hongbo Wen, Hanzhi Liu, Jiaxin Song, Yanju Chen, Wenbo Guo, Yu Feng
In ACM Conference on Computer and Communications Security (CCS'24)
GuideEnricher: Protecting the Anonymity of Ethereum Mixing Service Users with Deep Reinforcement Learning
Ravindu De Silva, Wenbo Guo, Nicola Ruaro, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna
In USENIX Security Symposium (USENIX Security'24)
BOXRR-23: 4.7 Million Motion Capture Recordings from 105,000 VR Users
Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis Rosenberg, Dawn Song
In IEEE Conference on Virtual Reality and 3D User Interfaces (VR'23)
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems
Roman Beltiukov, Wenbo Guo, Arpit Gupta, Walter Willinger
In ACM Conference on Computer and Communications Security (CCS'23)
Unique Identification of 50,000+ Virtual Reality Users from Head & Hand Motion Data
Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis Rosenberg, Dawn Song
In USENIX Security Symposium (USENIX Security'23)
From Grim Reality to Practical Solution: Malware Classification in Real-World Noise
Xian Wu, Wenbo Guo, Jia Yan, Baris Coskun, Xinyu Xing
In IEEE Symposium on Security and Privacy (S&P'23)
CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang
In USENIX Security Symposium (USENIX Security'21)
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
Junjie Liang**, Wenbo Guo**, Tongbo Luo, Vasant Honavar, Gang Wang, Xinyu Xing
In The Network and Distributed System Security Symposium (NDSS'21)
RENN: Efficient Reverse Execution with Neural-network-assisted Alias Analysis
Dongliang Mu**, Wenbo Guo**, Alejandro Cuevas, Yueqi Chen, Jinxuan Gai, Xinyu Xing, Bing Mao, Chengyu Song
In IEEE/ACM International Conference on Automated Software Engineering (ASE'19)
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis
Wenbo Guo**, Dongliang Mu**, Xinyu Xing, Min Du, Dawn Song
In USENIX Security Symposium (USENIX Security'19)
Towards the Detection of Inconsistencies in Public Security Vulnerability Reports
Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, Gang Wang
In USENIX Security Symposium (USENIX Security'19)
LEMNA: Explaining Deep Learning based Security Applications
Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing
In ACM Conference on Computer and Communications Security (CCS)
Outstanding paper award

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