Code/models/benchmarks for papers from my lab:    

2026

• Frontier AI’s Impact on the Cybersecurity Landscape
  Wenbo Guo, Yujin Potter†, Tianneng Shi, Zhun Wang, Andy Zhang, Dawn Song
  AI in Cybersecurity benchmarks
• VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection
  Yuzhou Nie, Hongwei Li, Chengquan Guo, Ruizhe Jiang, Zhun Wang, Bo Li, Dawn Song, Wenbo Guo
  

2025

• Demystifying Network Foundation Models
  Roman Beltiukov, Satyandra Guthula, Wenbo Guo, Walter Willinger, Arpit Gupta
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  
• SECODEPLT: 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
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  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
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  Top 2 open-weighted models on SWE-bench-verified
• BlockFound: Customized blockchain foundation model for anomaly detection
  Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  
• 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
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  
• AGENTVIGIL: Generic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents
  Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song
  In Empirical Methods in Natural Language Processing (EMNLP)
  
• 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)
  
• 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)
  Top 5 open-sourced tools on SWE-bench-verified
• 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)
  
• 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)
  
• 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)
  

2024

• 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)
  
• 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)
  
• 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 (SBFT)
  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)
  
• 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)
  Code
• SHINE: Shielding Backdoors in Deep Reinforcement Learning
  Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song
  In International Conference on Machine Learning (ICML)
  Code
• 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)
  Dataset
• 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)
  Code

2023

• 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)
  Code
• 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)
  Code
• 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
  
• 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)
  Code
• 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)
  Code ( Press release: Fox, Bloomberg )
• 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)
  Code
• 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)
  Code
• 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)
  Code

2022

• 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)
  Code

2021

• EDGE: Explaining Deep Reinforcement Learning Policies
  Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
  In Annual Conference on Neural Information Processing Systems (NeurIPS)
  Code
• Adversarial Policy Learning in Two-player Competitive Games
  Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing
  In The International Conference on Machine Learning (ICML)
  Code
• DANCE: Enhancing saliency maps using decoys
  Yang Lu**, Wenbo Guo**, Xinyu Xing, William Stafford Noble
  In The International Conference on Machine Learning (ICML)
  Code
• 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)
  Code
• Adversarial Policy Training against Deep Reinforcement Learning
  Wenbo Guo**, Xian Wu**, Hua Wei**, Xinyu Xing
  In USENIX Security Symposium (USENIX Security)
  Code
• 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)
  Code
• 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)
  
• 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)
  Code
• Data-driven analysis of the electronic-structure factors controlling the work functions of perovskites oxides
  Yihuang Xiong, Weinan Chen, Wenbo Guo, Hua Wei, Ismaila Dabo
  Physical Chemistry Chemical Physics

2020

• 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)
  
• 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)
  ( Press release: EurekAlert, Penn State News )
  

2019

• 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)
  Code
• 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)
  Code
• 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)
  Code

2017-2018

• 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)
  Code
• 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 Code Slides
• 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)
  
• 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)