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Wenbo Guo 0002
Person information
- affiliation: University of California Santa Barbara, CA, USA
- affiliation (2023): Purdue University, West Lafayette, IN, USA
- affiliation (2022 - 2023): University of California Berkeley, CA, USA
- affiliation (PhD 2022): Pennsylvania State University, PA, USA
Other persons with the same name
- Wenbo Guo 0001
— University of Electronic Science and Technology of China, Chengdu, China
- Wenbo Guo 0003 — Xi'an Jiaotong University, Xi'an, China
- Wenbo Guo 0004 — University of Washington Bothell, WA, USA
- Wenbo Guo 0005 — Henan University, Institute of Physical Education, Kaifeng, China
- Wenbo Guo 0006 — Nanjing University of Posts and Telecommunications, Nanjing, China
- Wenbo Guo 0007 — Beijing University of Posts and Telecommunications, MoE Key Laboratory of Universal Wireless Communication, China
- Wenbo Guo 0008 — Shanghai Jiaotong University, Antai College of Economis and Management, China.
- Wenbo Guo 0009
— Tsinghua University, Institute of Microelectronics, Beijing, China
- Wenbo Guo 0010
— Tsinghua University, Department of Automation, BNRIST Bioinformatics Division, MOE Key Laboratory of Bioinformatics, Beijing, China
- Wenbo Guo 0011
— Sichuan University, School of Cyber Science and Engineering, Chengdu, China
- Wenbo Guo 0012 — Anhui University of Science and Technology, China
- Wenbo Guo 0013 — Origin Quantum Computing Company Ltd., Anhui, China
- Wenbo Guo 0015
— Sichuan University, College of Electronics and Information Engineering, Chengdu, China
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2020 – today
- 2024
- [j3]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): 2239-2246 (2024) - [c28]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 - [c27]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: 477-484 - [c26]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: 493-500 - [i21]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 abs/2405.16783 (2024) - [i20]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 abs/2405.20653 (2024) - [i19]Xuan Chen, Yuzhou Nie, Wenbo Guo, Xiangyu Zhang:
When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search. CoRR abs/2406.08705 (2024) - [i18]Xuan Chen, Yuzhou Nie, Lu Yan, Yunshu Mao, Wenbo Guo, Xiangyu Zhang:
RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs. CoRR abs/2406.08725 (2024) - [i17]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 abs/2407.06348 (2024) - 2023
- [j2]Walter Willinger, Arpit Gupta, Roman Beltiukov
, Wenbo Guo:
A NetAI Manifesto (Part II): Less Hubris, more Humility. SIGMETRICS Perform. Evaluation Rev. 51(2): 109-111 (2023) - [c25]Roman Beltiukov
, Wenbo Guo
, Arpit Gupta
, Walter Willinger
:
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems. CCS 2023: 2217-2231 - [c24]Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song:
BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning. NeurIPS 2023 - [c23]Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Xinyu Xing:
StateMask: Explaining Deep Reinforcement Learning through State Mask. NeurIPS 2023 - [c22]Xian Wu, Wenbo Guo, Jia Yan, Baris Coskun, Xinyu Xing:
From Grim Reality to Practical Solution: Malware Classification in Real-World Noise. SP 2023: 2602-2619 - [c21]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. USENIX Security Symposium 2023: 895-910 - [c20]Wenbo Guo, Xian Wu, Lun Wang, Xinyu Xing, Dawn Song:
PATROL: Provable Defense against Adversarial Policy in Two-player Games. USENIX Security Symposium 2023: 3943-3960 - [c19]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: 7375-7392 - [i16]Vivek Nair, Wenbo Guo, Justus Mattern, Rui Wang, James F. O'Brien, Louis B. Rosenberg
, Dawn Song:
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data. CoRR abs/2302.08927 (2023) - [i15]Vivek Nair, Christian Rack
, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Louis B. Rosenberg
, Dawn Song:
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data. CoRR abs/2305.19198 (2023) - [i14]Roman Beltiukov
, Wenbo Guo, Arpit Gupta, Walter Willinger:
In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems. CoRR abs/2306.08853 (2023) - [i13]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, 852 Extended Reality Device Users. CoRR abs/2310.00430 (2023) - [i12]Satyandra Guthula, Navya Battula, Roman Beltiukov, Wenbo Guo, Arpit Gupta:
netFound: Foundation Model for Network Security. CoRR abs/2310.17025 (2023) - [i11]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 Virtual Reality Motion Data. CoRR abs/2311.05090 (2023) - [i10]Hengzhi Pei, Jinyuan Jia, Wenbo Guo, Bo Li, Dawn Song:
TextGuard: Provable Defense against Backdoor Attacks on Text Classification. CoRR abs/2311.11225 (2023) - 2022
- [c18]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? ACL (2) 2022: 10-19 - [i9]Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao Kenneth Huang:
Are Shortest Rationales the Best Explanations for Human Understanding? CoRR abs/2203.08788 (2022) - 2021
- [c17]Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing:
Adversarial Policy Learning in Two-player Competitive Games. ICML 2021: 3910-3919 - [c16]Yang Young Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble:
DANCE: Enhancing saliency maps using decoys. ICML 2021: 7124-7133 - [c15]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: 11383-11392 - [c14]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. IJCAI 2021: 3699-3705 - [c13]Junjie Liang, Wenbo Guo, Tongbo Luo, Vasant G. Honavar
, Gang Wang, Xinyu Xing:
FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data. NDSS 2021 - [c12]Wenbo Guo, Xian Wu, Usmann Khan
, Xinyu Xing:
EDGE: Explaining Deep Reinforcement Learning Policies. NeurIPS 2021: 12222-12236 - [c11]Xian Wu, Wenbo Guo, Hua Wei, Xinyu Xing:
Adversarial Policy Training against Deep Reinforcement Learning. USENIX Security Symposium 2021: 1883-1900 - [c10]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: 2327-2344 - [i8]Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song:
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning. CoRR abs/2105.00579 (2021) - 2020
- [c9]Wenbo Guo
, Lun Wang, Yan Xu, Xinyu Xing, Min Du, Dawn Song:
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks. ICDM 2020: 162-171 - [i7]Yang Lu, Wenbo Guo, Xinyu Xing, William Stafford Noble:
Robust saliency maps with decoy-enhanced saliency score. CoRR abs/2002.00526 (2020)
2010 – 2019
- 2019
- [c8]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: 924-935 - [c7]Wenbo Guo, Dongliang Mu, Ligeng Chen, Jinxuan Gai:
Building Adversarial Defense with Non-invertible Data Transformations. PRICAI (3) 2019: 593-606 - [c6]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: 869-885 - [c5]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: 1787-1804 - [i6]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 abs/1908.01763 (2019) - 2018
- [j1]Liang Gong, Wenbo Guo
, Yupu Yang:
Active learning support vector machines with low-rank transformation. Intell. Data Anal. 22(4): 701-715 (2018) - [c4]Wenbo Guo
, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing:
LEMNA: Explaining Deep Learning based Security Applications. CCS 2018: 364-379 - [c3]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: 137-146 - [c2]Wenbo Guo
, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. NeurIPS 2018: 4519-4529 - [i5]Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin:
Explaining Deep Learning Models - A Bayesian Non-parametric Approach. CoRR abs/1811.03422 (2018) - 2017
- [c1]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: 1145-1153 - [i4]Wenbo Guo, Kaixuan Zhang, Lin Lin, Sui Huang, Xinyu Xing:
Towards Interrogating Discriminative Machine Learning Models. CoRR abs/1705.08564 (2017) - 2016
- [i3]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Xinyu Xing, C. Lee Giles, Xue Liu:
Random Feature Nullification for Adversary Resistant Deep Architecture. CoRR abs/1610.01239 (2016) - [i2]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 abs/1610.01934 (2016) - [i1]Qinglong Wang, Wenbo Guo, Kaixuan Zhang, Alexander G. Ororbia II, Xinyu Xing, C. Lee Giles, Xue Liu:
Learning Adversary-Resistant Deep Neural Networks. CoRR abs/1612.01401 (2016)
Coauthor Index
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last updated on 2024-08-17 23:42 CEST by the dblp team
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