Wenbo Guo - RankMe

89 papers A* 33Journal 50Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle. CoRR Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Yang Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo
2026	J	`jnl`	OpenSage: Self-programming Agent Generation Engine. CoRR Hongwei Li, Zhun Wang, Qinrun Dai, Yuzhou Nie, Jinjun Peng, Ruitong Liu, Jingyang Zhang, Kaijie Zhu, Jingxuan He, Lun Wang, Yangruibo Ding, Yueqi Chen, Wenbo Guo, Dawn Song
2026	J	`jnl`	TermiGen: High-Fidelity Environment and Robust Trajectory Synthesis for Terminal Agents. CoRR Kaijie Zhu, Yuzhou Nie, Yijiang Li, Yiming Huang, Jialian Wu, Jiang Liu, Ximeng Sun, Zhenfei Yin, Lun Wang, Zicheng Liu, Emad Barsoum, William Yang Wang, Wenbo Guo
2026	J	`jnl`	The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey. CoRR Juhee Kim, Xiaoyuan Liu, Zhun Wang, Shi Qiu, Bo Li, Wenbo Guo, Dawn Song
2026	J	`jnl`	To Defend Against Cyber Attacks, We Must Teach AI Agents to Hack. CoRR Terry Yue Zhuo, Yangruibo Ding, Wenbo Guo, Ruijie Meng
2026	J	`jnl`	rePIRL: Learn PRM with Inverse RL for LLM Reasoning. CoRR Xian Wu, Kaijie Zhu, Ying Zhang, Lun Wang, Wenbo Guo
2025	J	`jnl`	AGENTFUZZER: Generic Black-Box Fuzzing for Indirect Prompt Injection against LLM Agents. CoRR Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song
2025	—	`conf`	AGENTVIGIL: Automatic Black-Box Red-teaming for Indirect Prompt Injection against LLM Agents. EMNLP (Findings) Zhun Wang, Vincent Siu, Zhe Ye, Tianneng Shi, Yuzhou Nie, Xuandong Zhao, Chenguang Wang, Wenbo Guo, Dawn Song
2025	J	`jnl`	BandFuzz: An ML-powered Collaborative Fuzzing Framework. CoRR Wenxuan Shi, Hongwei Li, Jiahao Yu, Xinqian Sun, Wenbo Guo, Xinyu Xing
2025	J	`jnl`	BlueCodeAgent: A Blue Teaming Agent Enabled by Automated Red Teaming for CodeGen AI. CoRR Chengquan Guo, Yuzhou Nie, Chulin Xie, Zinan Lin, Wenbo Guo, Bo Li
2025	J	`jnl`	Co-PatcheR: Collaborative Software Patching with Component(s)-specific Small Reasoning Models. CoRR Yuheng Tang, Hongwei Li, Kaijie Zhu, Michael Yang, Yangruibo Ding, Wenbo Guo
2025	J	`jnl`	Demystifying Network Foundation Models. CoRR Roman Beltiukov, Satyandra Guthula, Wenbo Guo, Walter Willinger, Arpit Gupta
2025	A*	`conf`	F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. ICLR Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2025	J	`jnl`	From CVE Entries to Verifiable Exploits: An Automated Multi-Agent Framework for Reproducing CVEs. CoRR Saad Ullah, Praneeth Balasubramanian, Wenbo Guo, Amanda Burnett, Hammond Pearce, Christopher Kruegel, Giovanni Vigna, Gianluca Stringhini
2025	J	`jnl`	Frontier AI's Impact on the Cybersecurity Landscape. CoRR Wenbo Guo, Yujin Potter, Tianneng Shi, Zhun Wang, Andy Zhang, Dawn Song
2025	J	`jnl`	HarnessLLM: Automatic Testing Harness Generation via Reinforcement Learning. CoRR Yujian Liu, Jiabao Ji, Yang Zhang, Wenbo Guo, Tommi S. Jaakkola, Shiyu Chang
2025	J	`jnl`	MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison. CoRR Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
2025	A*	`conf`	MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents. ICML Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang
2025	A*	`conf`	Mind the Inconspicuous: Revealing the Hidden Weakness in Aligned LLMs' Refusal Boundaries. USENIX Security Symposium Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Yan Chen, Wenbo Guo, Han Liu, Xinyu Xing
2025	A*	`conf`	PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification. ICML Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo
2025	J	`jnl`	PatchPilot: A Stable and Cost-Efficient Agentic Patching Framework. CoRR Hongwei Li, Yuheng Tang, Shiqi Wang, Wenbo Guo
2025	J	`jnl`	Progent: Programmable Privilege Control for LLM Agents. CoRR Tianneng Shi, Jingxuan He, Zhun Wang, Linyu Wu, Hongwei Li, Wenbo Guo, Dawn Song
2025	J	`jnl`	PromptArmor: Simple yet Effective Prompt Injection Defenses. CoRR Tianneng Shi, Kaijie Zhu, Zhun Wang, Yuqi Jia, Will Cai, Weida Liang, Haonan Wang, Hend Alzahrani, Joshua Lu, Kenji Kawaguchi, Basel Alomair, Xuandong Zhao, William Yang Wang, Neil Gong, Wenbo Guo, Dawn Song
2025	J	`jnl`	Temporal Logic-Based Multi-Vehicle Backdoor Attacks against Offline RL Agents in End-to-end Autonomous Driving. CoRR Xuan Chen, Shiwei Feng, Zikang Xiong, Shengwei An, Yunshu Mao, Lu Yan, Guanhong Tao, Wenbo Guo, Xiangyu Zhang
2025	J	`jnl`	VulnLLM-R: Specialized Reasoning LLM with Agent Scaffold for Vulnerability Detection. CoRR Yuzhou Nie, Hongwei Li, Chengquan Guo, RuiZhe Jiang, Zhun Wang, Bo Li, Dawn Song, Wenbo Guo
2025	J	`jnl`	cytoGPNet: Enhancing clinical outcome prediction accuracy using longitudinal cytometry data in small cohort studies. Patterns Jingxuan Zhang, Liwen Sun, Neal E. Ready, Wenbo Guo, Lin Lin
2024	—	`conf`	BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning. SBFT@ICSE Wenxuan Shi, Hongwei Li, Jiahao Yu, Wenbo Guo, Xinyu Xing
2024	J	`jnl`	Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. IEEE Trans. Vis. Comput. Graph. Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2024	J	`jnl`	BlockFound: Customized blockchain foundation model for anomaly detection. CoRR Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing
2024	A*	`conf`	Data Free Backdoor Attacks. NeurIPS Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	J	`jnl`	Data Free Backdoor Attacks. CoRR Bochuan Cao, Jinyuan Jia, Chuxuan Hu, Wenbo Guo, Zhen Xiang, Jinghui Chen, Bo Li, Dawn Song
2024	—	`conf`	Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. VR Workshops Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2024	J	`jnl`	Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens. CoRR Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Wenbo Guo, Han Liu, Xinyu Xing
2024	J	`jnl`	F-Fidelity: A Robust Framework for Faithfulness Evaluation of Explainable AI. CoRR Xu Zheng, Farhad Shirani, Zhuomin Chen, Chaohao Lin, Wei Cheng, Wenbo Guo, Dongsheng Luo
2024	A*	`conf`	FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols. CCS Hongbo Wen, Hanzhi Liu, Jiaxin Song, Yanju Chen, Wenbo Guo, Yu Feng
2024	J	`jnl`	FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols. CoRR Hongbo Wen, Hanzhi Liu, Jiaxin Song, Yanju Chen, Wenbo Guo, Yu Feng
2024	A*	`conf`	GuideEnricher: Protecting the Anonymity of Ethereum Mixing Service Users with Deep Reinforcement Learning. USENIX Security Symposium Ravindu De Silva, Wenbo Guo, Nicola Ruaro, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna
2024	—	`conf`	Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. VR Workshops Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Erich Latoschik, Louis B. Rosenberg, Dawn Song
2024	J	`jnl`	PrivAgent: Agentic-based Red-teaming for LLM Privacy Leakage. CoRR Yuzhou Nie, Zhun Wang, Ye Yu, Xian Wu, Xuandong Zhao, Wenbo Guo, Dawn Song
2024	J	`jnl`	RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs. CoRR Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang
2024	A*	`conf`	SHINE: Shielding Backdoors in Deep Reinforcement Learning. ICML Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song
2024	J	`jnl`	SecCodePLT: A Unified Platform for Evaluating the Security of Code GenAI. CoRR Yu Yang, Yuzhou Nie, Zhun Wang, Yuheng Tang, Wenbo Guo, Bo Li, Dawn Song
2024	A*	`conf`	TextGuard: Provable Defense against Backdoor Attacks on Text Classification. NDSS Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
2024	J	`jnl`	TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
2024	A*	`conf`	When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search. NeurIPS Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
2024	J	`jnl`	When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search. CoRR Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
2023	J	`jnl`	A NetAI Manifesto (Part II): Less Hubris, more Humility. SIGMETRICS Perform. Evaluation Rev. Walter Willinger, Arpit Gupta, Roman Beltiukov, Wenbo Guo
2023	A*	`conf`	AIRS: Explanation for Deep Reinforcement Learning based Security Applications. USENIX Security Symposium Jiahao Yu, Wenbo Guo, Qi Qin, Gang Wang, Ting Wang, Xinyu Xing
2023	A*	`conf`	BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song
2023	J	`jnl`	Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. CoRR Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	J	`jnl`	Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. CoRR Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	A*	`conf`	From Grim Reality to Practical Solution: Malware Classification in Real-World Noise. SP Xian Wu, Wenbo Guo, Jia Yan, Baris Coskun, Xinyu Xing
2023	A*	`conf`	In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems. CCS Roman Beltiukov, Wenbo Guo, Arpit Gupta, Walter Willinger
2023	J	`jnl`	In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems. CoRR Roman Beltiukov, Wenbo Guo, Arpit Gupta, Walter Willinger
2023	J	`jnl`	Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	A*	`conf`	PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song
2023	A*	`conf`	StateMask: Explaining Deep Reinforcement Learning through State Mask. NeurIPS Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing
2023	J	`jnl`	TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
2023	A*	`conf`	Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	J	`jnl`	Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
2023	J	`jnl`	netFound: Foundation Model for Network Security. CoRR Satyandra Guthula, Navya Battula, Roman Beltiukov, Wenbo Guo, Arpit Gupta
2022	—	`conf`	Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
2022	J	`jnl`	Are Shortest Rationales the Best Explanations for Human Understanding? CoRR Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
2021	A*	`conf`	Adversarial Policy Learning in Two-player Competitive Games. ICML Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing
2021	A*	`conf`	Adversarial Policy Training against Deep Reinforcement Learning. USENIX Security Symposium Xian Wu, Wenbo Guo, Hua Wei, Xinyu Xing
2021	A*	`conf`	BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
2021	J	`jnl`	BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
2021	A*	`conf`	CADE: Detecting and Explaining Concept Drift Samples for Security Applications. USENIX Security Symposium Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang
2021	A*	`conf`	DANCE: Enhancing saliency maps using decoys. ICML Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble
2021	A*	`conf`	EDGE: Explaining Deep Reinforcement Learning Policies. NeurIPS Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
2021	A*	`conf`	FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. NDSS Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar, Gang Wang, Xinyu Xing
2021	A*	`conf`	RNNRepair: Automatic RNN Repair via Model-based Analysis. ICML Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing
2020	J	`jnl`	Robust saliency maps with decoy-enhanced saliency score. CoRR Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble
2020	A*	`conf`	Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song
2019	—	`conf`	Building Adversarial Defense with Non-invertible Data Transformations. PRICAI (3) Wenbo Guo, Dongliang Mu, Ligeng Chen, Jinxuan Gai
2019	A*	`conf`	DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis. USENIX Security Symposium Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song
2019	A*	`conf`	RENN: Efficient Reverse Execution with Neural-Network-Assisted Alias Analysis. ASE Dongliang Mu, Wenbo Guo, Alejandro Cuevas, Yueqi Chen, Jinxuan Gai, Xinyu Xing, Bing Mao, Chengyu Song
2019	J	`jnl`	TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. CoRR Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song
2019	A*	`conf`	Towards the Detection of Inconsistencies in Public Security Vulnerability Reports. USENIX Security Symposium Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, Gang Wang
2018	J	`jnl`	Active learning support vector machines with low-rank transformation. Intell. Data Anal. Liang Gong, Wenbo Guo, Yupu Yang
2018	A*	`conf`	Defending Against Adversarial Samples Without Security through Obscurity. ICDM Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing
2018	A*	`conf`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2018	J	`jnl`	Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
2018	A*	`conf`	LEMNA: Explaining Deep Learning based Security Applications. CCS Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing
2017	A*	`conf`	Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
2017	J	`jnl`	Towards Interrogating Discriminative Machine Learning Models. CoRR Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing
2016	J	`jnl`	Learning Adversary-Resistant Deep Neural Networks. CoRR Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu
2016	J	`jnl`	Random Feature Nullification for Adversary Resistant Deep Architecture. CoRR Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu
2016	J	`jnl`	Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong