Wenbo Guo

According to our database, Wenbo Guo authored at least 51 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105,000 XR Users.

Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song

IEEE Trans. Vis. Comput. Graph., May, 2024

BlockFound: Customized blockchain foundation model for anomaly detection.

Jiahao Yu, Xian Wu, Hao Liu, Wenbo Guo, Xinyu Xing

CoRR, 2024

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

CoRR, 2024

FORAY: Towards Effective Attack Synthesis against Deep Logical Vulnerabilities in DeFi Protocols.

Hongbo Wen, Hanzhi Liu, Jiaxin Song, Yanju Chen, Wenbo Guo, Yu Feng

CoRR, 2024

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs.

Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang

CoRR, 2024

When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search.

Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang

CoRR, 2024

Enhancing Jailbreak Attack Against Large Language Models through Silent Tokens.

Jiahao Yu, Haozheng Luo, Jerry Yao-Chieh Hu, Wenbo Guo, Han Liu, Xinyu Xing

CoRR, 2024

TrojFM: Resource-efficient Backdoor Attacks against Very Large Foundation Models.

Yuzhou Nie, Yanting Wang, Jinyuan Jia, Michael J. De Lucia, Nathaniel D. Bastian, Wenbo Guo, Dawn Song

CoRR, 2024

Inferring Private Personal Attributes of Virtual Reality Users from Ecologically Valid Head and Hand Motion Data.

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

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Ecological Virtual Reality Motion Data.

Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2024

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

Proceedings of the 33rd USENIX Security Symposium, 2024

BandFuzz: A Practical Framework for Collaborative Fuzzing with Reinforcement Learning.

Wenxuan Shi, Hongwei Li, Jiahao Yu, Wenbo Guo, Xinyu Xing

Proceedings of the 17th ACM/IEEE International Workshop on Search-Based and Fuzz Testing, 2024

TextGuard: Provable Defense against Backdoor Attacks on Text Classification.

Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song

Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

SHINE: Shielding Backdoors in Deep Reinforcement Learning.

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia, Bo Li, Dawn Song

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A NetAI Manifesto (Part II): Less Hubris, more Humility.

Walter Willinger, Arpit Gupta, Roman Beltiukov, Wenbo Guo

SIGMETRICS Perform. Evaluation Rev., September, 2023

Deep Motion Masking for Secure, Usable, and Scalable Real-Time Anonymization of Virtual Reality Motion Data.

Vivek Nair, Wenbo Guo, James F. O'Brien, Louis B. Rosenberg, Dawn Song

CoRR, 2023

netFound: Foundation Model for Network Security.

Satyandra Guthula, Navya Battula, Roman Beltiukov, Wenbo Guo, Arpit Gupta

CoRR, 2023

Berkeley Open Extended Reality Recordings 2023 (BOXRR-23): 4.7 Million Motion Capture Recordings from 105, 852 Extended Reality Device Users.

Vivek Nair, Wenbo Guo, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song

CoRR, 2023

Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data.

Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg, Dawn Song

CoRR, 2023

AIRS: Explanation for Deep Reinforcement Learning based Security Applications.

Jiahao Yu, Wenbo Guo, Qi Qin, Gang Wang, Ting Wang, Xinyu Xing

Proceedings of the 32nd USENIX Security Symposium, 2023

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 B. Rosenberg, Dawn Song

Proceedings of the 32nd USENIX Security Symposium, 2023

PATROL: Provable Defense against Adversarial Policy in Two-player Games.

Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song

Proceedings of the 32nd USENIX Security Symposium, 2023

From Grim Reality to Practical Solution: Malware Classification in Real-World Noise.

Xian Wu, Wenbo Guo, Jia Yan, Baris Coskun, Xinyu Xing

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

StateMask: Explaining Deep Reinforcement Learning through State Mask.

Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning.

Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022

Are Shortest Rationales the Best Explanations for Human Understanding?

Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

CADE: Detecting and Explaining Concept Drift Samples for Security Applications.

Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang

Proceedings of the 30th USENIX Security Symposium, 2021

Adversarial Policy Training against Deep Reinforcement Learning.

Xian Wu, Wenbo Guo, Hua Wei, Xinyu Xing

Proceedings of the 30th USENIX Security Symposium, 2021

EDGE: Explaining Deep Reinforcement Learning Policies.

Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data.

Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar, Gang Wang, Xinyu Xing

Proceedings of the 28th Annual Network and Distributed System Security Symposium, 2021

BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning.

Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 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

Proceedings of the 38th International Conference on Machine Learning, 2021

DANCE: Enhancing saliency maps using decoys.

Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

Proceedings of the 38th International Conference on Machine Learning, 2021

Adversarial Policy Learning in Two-player Competitive Games.

Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Robust saliency maps with decoy-enhanced saliency score.

Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble

CoRR, 2020

Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks.

Wenbo Guo, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems.

Wenbo Guo, Lun Wang, Xinyu Xing, Min Du, Dawn Song

CoRR, 2019

DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis.

Wenbo Guo, Dongliang Mu, Xinyu Xing, Min Du, Dawn Song

Proceedings of the 28th USENIX Security Symposium, 2019

Towards the Detection of Inconsistencies in Public Security Vulnerability Reports.

Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, Gang Wang

Proceedings of the 28th USENIX Security Symposium, 2019

Building Adversarial Defense with Non-invertible Data Transformations.

Wenbo Guo, Dongliang Mu, Ligeng Chen, Jinxuan Gai

Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 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

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

Active learning support vector machines with low-rank transformation.

Liang Gong, Wenbo Guo, Yupu Yang

Intell. Data Anal., 2018

Explaining Deep Learning Models - A Bayesian Non-parametric Approach.

Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

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

Proceedings of the IEEE International Conference on Data Mining, 2018

LEMNA: Explaining Deep Learning based Security Applications.

Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017

Towards Interrogating Discriminative Machine Learning Models.

Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing

CoRR, 2017

Adversary Resistant Deep Neural Networks with an Application to Malware Detection.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, Xue Liu, C. Lee Giles

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

Random Feature Nullification for Adversary Resistant Deep Architecture.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016

Learning Adversary-Resistant Deep Neural Networks.

Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu

CoRR, 2016

Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks.

Qinglong Wang, Wenbo Guo, Alexander G. Ororbia II, Xinyu Xing, Lin Lin, C. Lee Giles, Xue Liu, Peng Liu, Gang Xiong

CoRR, 2016