Wenbo Guo Department of EECS UC Berkeley E-mail: henrygwb@berkeley.edu Office: 795 Soda Hall, Berkeley, CA, 94709 Github   Twitter

I will join the Department of Computer Science at Purdue University as an assistant professor, starting in Fall 2023.

Multiple Ph.D. positions with full financial support will be available in my group at Purdue, starting from Fall 2023. If you have a solid background in either statistical learning or security skills (binaries, fuzzing, etc) and are interested in working with me, please do not hesitate to contact me through email.

Machine Learning  Computer Security

• IBM Fellowship Award, IBM, 2020.
• Facebook Fellowship Finalist, Facebook, 2020.
• Baidu AI Fellowship Finalist, Baidu, 2020.
• Excellent Teaching Support Award, IST, Penn State, 2020.
• Excellent Research Award, IST, Penn State, 2019.
• Black Hat Student Scholarship, Black Hat, 2018-2020.
• Multiple Conference Travel Grants (e.g., USENIX Security, CCS, NeurIPS, ICML), 2018-2021.
• CCS Outstanding Paper Award, ACM, 2018.
• Outstanding Graduate student, SJTU, 2017.

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 (USENIX Security)
  Anaheim, CA, August 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 (S&P)
  San Francisco, CA, May 2023.

2022

• Are Shortest Rationales the Best Explanations For Human Understanding? [code]
  Hua Shen, Tongshuang Wu, Wenbo Guo, Ting-Hao (Kenneth) Huang
  Proceedings of The 60th Annual Meeting of the Association for Computational Linguistics (ACL)
  Dublin, Ireland, May 2022. (Acceptance rate: 779/3088=25.22%)

2021

• EDGE: Explaining Deep Reinforcement Learning Policies [code]
  Wenbo Guo, Xian Wu, Usmann Khan, Xinyu Xing
  Proceedings of The 35th Annual Conference on Neural Information Processing Systems (NeurIPS)
  Virtual Conference, December 2021. (Acceptance rate: 2372/9122=26.00%)
• Adversarial Policy Learning in Two-player Competitive Games [code]
  Wenbo Guo, Xian Wu, Sui Huang, Xinyu Xing
  Proceedings of The 38th International Conference on Machine Learning (ICML)
  Virtual Conference, July 2021. (Acceptance rate: 1184/5513=21.48%)
• DANCE: Enhancing saliency maps using decoys [code]
  Yang Lu**, Wenbo Guo**, Xinyu Xing, William Stafford Noble
  Proceedings of The 38th International Conference on Machine Learning (ICML)
  Virtual Conference, July 2021. (Acceptance rate: 1184/5513=21.48%)
• RNNRepair: Automatic RNN Repair via Model-based Analysis [code]
  Xiaofei Xie, Wenbo Guo, Lei Ma, Wei Le, Jian Wang, Lingjun Zhou, Xinyu Xing, Yang Liu
  Proceedings of The 38th International Conference on Machine Learning (ICML)
  Virtual Conference, July 2021. (Acceptance rate: 1184/5513=21.48%)
• Adversarial Policy Training against Deep Reinforcement Learning [code]
  Wenbo Guo**, Xian Wu**, Hua Wei**, Xinyu Xing
  Proceedings of The 30th USENIX Security Symposium (USENIX Security)
  Virtual Conference, August 2021. (Acceptance rate 248/1319=18.80%) (Artifact Evaluated)
• CADE: Detecting and Explaining Concept Drift Samples for Security Applications [code]
  Limin Yang, Wenbo Guo, Qingying Hao, Arridhana Ciptadi, Ali Ahmadzadeh, Xinyu Xing, Gang Wang
  Proceedings of The 30th USENIX Security Symposium (USENIX Security)
  Virtual Conference, Canada, August 2021. (Acceptance rate 248/1319=18.80%) (Artifact Evaluated)
• BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
  Lun Wang, Zaynah Javed, Xian Wu, Wenbo Guo, Xinyu Xing, Dawn Song
  Proceedings of The 30th International Joint Conference on Artificial Intelligence (IJCAI)
  Virtual Conference, August 2021. (Acceptance rate: 587/4204=13.96%)
• FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data [code]
  Junjie Liang**, Wenbo Guo**, Tongbo Luo, Vasant Honavar, Gang Wang, Xinyu Xing
  Proceedings of The 28th Network and Distributed System Security Symposium (NDSS)
  Virtual Conference, February 2021. (Acceptance rate: 15.2%)
• 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
  Proceedings of The 20th IEEE International Conference on Data Mining (ICDM)
  Sorrento, Italy, November 2020. (Acceptance rate: 91/930=9.78%)
• Ruling StarCraft Game Spitefully -- Exploiting the Blind Spot of AI-Powered Game Bots
  Wenbo Guo, Xian Wu, Xinyu Xing, Jimmy Su
  Proceedings of The 23rd Blackhat USA (BlackHat USA)
  Las Vegas, NV, August 2020. (Press release: EurekAlert, Penn State News)
  

2019

• RENN: Efficient Reverse Execution with Neural-network-assisted Alias Analysis [code]
  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 (ASE)
  San Diego, CA, November 2019. (Acceptance rate: 93/445=20.89%)
• DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis [code]
  Wenbo Guo**, Dongliang Mu**, Xinyu Xing, Min Du, Dawn Song
  Proceedings of The 28th USENIX Security Symposium (USENIX Security)
  Santa Clara, CA, August 2019. (Acceptance rate: 113/719=15.72%)
• Towards the Detection of Inconsistencies in Public Security Vulnerability Reports [code]
  Ying Dong, Wenbo Guo, Yueqi Chen, Xinyu Xing, Yuqing Zhang, Gang Wang
  Proceedings of The 28th USENIX Security Symposium (USENIX Security)
  Santa Clara, CA, August 2019. (Acceptance rate: 113/719=15.72%)

2018

• Explaining Deep Learning Models -- A Bayesian Non-parametric Approach [code]
  Wenbo Guo, Sui Huang, Yunzhe Tao, Xinyu Xing, Lin Lin
  Proceedings of The 32nd Annual Conference on Neural Information Processing Systems (NeurIPS)
  Montreal, Canada, December 2018. (Acceptance rate: 1011/4856=20.82%)
• LEMNA: Explaining Deep Learning based Security Applications [slides] [code]
  Wenbo Guo, Dongliang Mu, Jun Xu, Purui Su, Gang Wang, Xinyu Xing
  Proceedings of The 25th ACM Conference on Computer and Communications Security (CCS)
  Toronto, Canada, October 2018. (Outstanding paper award: 2/809=0.25%) (Press release: Penn State News)
• 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 20th IEEE International Conference on Data Mining (ICDM)
  Singapore, November 2018. (Oral presentation: 84/948=8.86%)
• Active Learning Support Vector Machines with Low-Rank Transformation
  Liang Gong, Wenbo Guo*, Yupu Yang.
  Intelligent Data Analysis, 22.4 (2018): 701-715.

2017

• 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
  Proceedings of The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  Halifax, Nova Scotia, August 2017. (Acceptance rate: 131/748=17.51%)

(**equal contribution, *corresponding author)

• CYBER 366: Malware Analytics
  Instructor/Teaching Assistant, Penn State, Fall 2019.
  Awarded the Excellent Teaching Award
• Neural Network, Fuzzy Control and Expert System
  Teaching Assistant, SJTU, Spring 2015.
  

• Geekpwn Competition on Data Tracing CTF.
  Top 10, August, 2018.
  
• Geekpwn Competition on Advesarial Attacks and Defenses CTF.
  Finalist (Top 6 worldwide), August, 2018. (Press release: Penn State News, CCTV, CSDN, TOM)
  
• Kanxue AI CTF.
  Competition Question Maker, June, 2018. (Press release: China Daily, kknews)
  

• Program Committee Member:
• CCS'23, CCS'22, CCS'21
• S&P'22 (Poster PC), S&P'21 (Shadow PC)
• ICLR'23, ICLR'22
• ICML'23, ICML'22, ICML'21
• NeurIPS'23, NeurIPS'22, NeurIPS'21
• AAAI'23, AAAI'22, AAAI'21
• RAID'22
• XAI4DEBUGGING'21
• MLHAT'21
• WAD'21
• DEEPVISON'20
• SPAI'20
• Conference (Sub)Reviewer:
• NeurIPS'20, NeurIPS'17 ML&Security Workshop
• CCS'17, CCS'18, CCS'19, CCS'20
• USENIX Security'20, USENIX Security'21
• AAAI'20
• ACSEC'19, ACSEC'20
• DLS'19
• EuroSys'18
• ASIACCS'18