Wenbo Guo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 49

Top Topics

Approximate Policy Iteration

Reinforcement Learning

Highly Accurate

Top Venues

USENIX Security Symposium

Publications

Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs. CoRR (2024)
Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search. CoRR (2024)
Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Wenbo Guo, Han Liu, Xinyu Xing
Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens. CoRR (2024)
Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users. IEEE Trans. Vis. Comput. Graph. 30 (5) (2024)
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
Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data. VR Workshops (2024)
Hongbo Wen, Hanzhi Liu, Jiaxin Song, Yanju Chen, Wenbo Guo, Yu Feng
FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols. CoRR (2024)
Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data. VR Workshops (2024)
Ravindu De Silva, Wenbo Guo, Nicola Ruaro, Ilya Grishchenko, Christopher Kruegel, Giovanni Vigna
GuideEnricher: Protecting the Anonymity of Ethereum Mixing Service Users with Deep Reinforcement Learning. USENIX Security Symposium (2024)
Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song
TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models. CoRR (2024)
Jiahao Yu, Wenbo Guo, Qi Qin, Gang Wang, Ting Wang, Xinyu Xing
AIRS: Explanation for Deep Reinforcement Learning based Security Applications. USENIX Security Symposium (2023)
Walter Willinger, Arpit Gupta, Roman Beltiukov, Wenbo Guo
A NetAI Manifesto (Part II): Less Hubris, more Humility. SIGMETRICS Perform. Evaluation Rev. 51 (2) (2023)
Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis Rosenberg, Dawn Song
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR (2023)
Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis Rosenberg, Dawn Song
Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users. CoRR (2023)
Vivek Nair, Wenbo Guo, James F. O'Brien, Louis Rosenberg, Dawn Song
Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data. CoRR (2023)
Xian Wu, Wenbo Guo, Jia Yan, Baris Coskun, Xinyu Xing
From Grim Reality to Practical Solution: Malware Classification in Real-World Noise. SP (2023)
Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS (2023)
Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song
PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium (2023)
Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing
StateMask: Explaining Deep Reinforcement Learning through State Mask. NeurIPS (2023)
Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR (2023)
Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis Rosenberg, Dawn Song
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium (2023)
Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis Rosenberg, Dawn Song
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR (2023)
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
Are Shortest Rationales the Best Explanations for Human Understanding? CoRR (2022)
Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang
Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) (2022)
Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
EDGE: Explaining Deep Reinforcement Learning Policies. NeurIPS (2021)
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR (2021)
Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant Honavar, Gang Wang, Xinyu Xing
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. NDSS (2021)
Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI (2021)
Xian Wu, Wenbo Guo, Hua Wei, Xinyu Xing
Adversarial Policy Training against Deep Reinforcement Learning. USENIX Security Symposium (2021)
Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Yang Liu, Xinyu Xing
RNNRepair: Automatic RNN Repair via Model-based Analysis. ICML (2021)
Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang
CADE: Detecting and Explaining Concept Drift Samples for Security Applications. USENIX Security Symposium (2021)
Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble
DANCE: Enhancing saliency maps using decoys. ICML (2021)
Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing
Adversarial Policy Learning in Two-player Competitive Games. ICML (2021)
Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble
Robust saliency maps with decoy-enhanced saliency score. CoRR (2020)
Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM (2020)
Dongliang Mu, Wenbo Guo, Alejandro Cuevas, Yueqi Chen, Jinxuan Gai, Xinyu Xing, Bing Mao, Chengyu Song
RENN: Efficient Reverse Execution with Neural-Network-Assisted Alias Analysis. ASE (2019)
Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis. USENIX Security Symposium (2019)
Wenbo Guo, Dongliang Mu, Ligeng Chen, Jinxuan Gai
Building Adversarial Defense with Non-invertible Data Transformations. PRICAI (3) (2019)
Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, Gang Wang
Towards the Detection of Inconsistencies in Public Security Vulnerability Reports. USENIX Security Symposium (2019)
Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems. CoRR (2019)
Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR (2018)
Wenbo Guo, Qinglong Wang, Kaixuan Zhang, Alexander G. Ororbia II, Sui Huang, Xue Liu, C. Lee Giles, Lin Lin, Xinyu Xing
Defending Against Adversarial Samples Without Security through Obscurity. ICDM (2018)
Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS (2018)
Liang Gong, Wenbo Guo, Yupu Yang
Active learning support vector machines with low-rank transformation. Intell. Data Anal. 22 (4) (2018)
Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing
LEMNA: Explaining Deep Learning based Security Applications. CCS (2018)
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles
Adversary Resistant Deep Neural Networks with an Application to Malware Detection. KDD (2017)
Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing
Towards Interrogating Discriminative Machine Learning Models. CoRR (2017)
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu
Learning Adversary-Resistant Deep Neural Networks. CoRR (2016)
Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu
Random Feature Nullification for Adversary Resistant Deep Architecture. CoRR (2016)
Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong
Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks. CoRR (2016)