Guanhong Tao

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I am an Assistant Professor in Kahlert School of Computing at University of Utah. My research focuses on the security and safety of AI-enabled systems, aiming to empower system providers and individual users to counteract attacks. I am broadly interested in a range of topics in security and privacy relating to machine learning, including adversarial generative AI, security/privacy of LLM agents, and machine learning for security. My projects are consistently published in conferences such as IEEE S&P / USENIX Security / CCS / NDSS, NeurIPS / ICML / ICLR / CVPR, and ICSE / FSE. I am a recipient of Maurice H. Halstead Memorial Award (2023), ECCV AROW Workshop Best Paper Award (2022), and ACM SIGPLAN Distinguished Paper Award (2019).

I obtained my Ph.D. from Purdue University under the supervision of Dr. Xiangyu Zhang. I received my bachelor’s degree from Zhejiang University.

News

Dec, 2024 Our project is awarded an NVIDIA Academic Grant. Thank you for the support!
Oct, 2024 One paper accepted to NeurIPS 2024 Workshop Red Teaming GenAI
Sep, 2024 One paper on detecting AI-generated text got accepted to NeurIPS 2024
Sep, 2024 Our paper on detecting backdoors in LLMs got accepted to S&P 2025

Selected Publications

  1. S&P
    BAIT: Large Language Model Backdoor Scanning by Inverting Attack Target
    Guangyu Shen, Siyuan Cheng, Zhuo Zhang, Guanhong Tao, Kaiyuan Zhang, Hanxi Guo, Lu Yan, Xiaolong Jin, Shengwei An, Shiqing Ma, and Xiangyu Zhang
    In Proceedings of the 46th IEEE Symposium on Security and Privacy, San Francisco, CA, USA, 2025
  2. NeurIPS
    BiScope: AI-generated Text Detection by Checking Memorization of Preceding Tokens
    Hanxi Guo, Siyuan Cheng, Xiaolong Jin, Zhuo Zhang, Kaiyuan Zhang, Guanhong Tao, Guangyu Shen, and Xiangyu Zhang
    In Proceedings of Thirty-Eighth Conference on Neural Information Processing Systems, Vancouver, Canada, 2024
  3. S&P
    On Large Language Models’ Resilience to Coercive Interrogation
    Zhuo Zhang, Guangyu Shen, Guanhong Tao, Siyuan Cheng, and Xiangyu Zhang
    In Proceedings of the 45th IEEE Symposium on Security and Privacy, San Francisco, CA, USA, 2024
  4. S&P
    Model Orthogonalization: Class Distance Hardening in Neural Networks for Better Security
    Guanhong Tao, Yingqi Liu, Guangyu Shen, Qiuling Xu, Shengwei An, Zhuo Zhang, and Xiangyu Zhang
    In Proceedings of the 43rd IEEE Symposium on Security and Privacy, San Francisco, CA, USA, 2022
  5. CVPR
    Better Trigger Inversion Optimization in Backdoor Scanning
    Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, and Xiangyu Zhang
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, New Orleans, LA, USA, 2022
  6. CCS
    ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
    Yingqi Liu, Wen-Chuan Lee, Guanhong Tao, Shiqing Ma, Yousra Aafer, and Xiangyu Zhang
    In Proceedings of the 26th ACM Conference on Computer and Communications Security, London, United Kingdom, 2019

Awards & Honors

Students

Teaching

Services

  • Program Chair / Organizer
  • Program Committee / Reviewer
    • S&P  IEEE Symposium on Security and Privacy: 2021 (Shadow), 2025
    • CCS  ACM Conference on Computer and Communications Security: 2025
    • SaTML  IEEE Conference on Secure and Trustworthy Machine Learning: 2025
    • RAID  International Symposium on Research in Attacks, Intrusions and Defenses: 2024
    • FSE  ACM Symposium on the Foundations of Software Engineering: 2023 (Artifact Evaluation)
    • NeurIPS  Conference on Neural Information Processing Systems: 2021, 2022, 2023, 2024
    • ICML  International Conference on Machine Learning: 2021, 2022, 2023, 2024, 2025
    • ICLR  International Conference on Learning Representations: 2022 (Highlighted), 2023, 2024, 2025
    • CVPR  IEEE/CVF Conference on Computer Vision and Pattern Recognition: 2022, 2023, 2025
    • ECCV  European Conference on Computer Vision: 2022
    • ICCV  International Conference on Computer Vision: 2023
    • ACL  Annual Meeting of the Association for Computational Linguistics: 2023, 2025
    • EMNLP  Conference on Empirical Methods in Natural Language Processing: 2023
    • AISTATS  International Conference on Artificial Intelligence and Statistics: 2025
    • AAAI  Annual AAAI Conference on Artificial Intelligence: 2024
    • DLSP  Deep Learning Security and Privacy Workshop (co-located with S&P): 2025
    • LLMapp  International Workshop on LLM App Store Analysis (co-located with FSE): 2025
    • SATA  NeurIPS Workshop on Towards Safe & Trustworthy Agents: 2024
    • DPML  ICLR Workshop on Distributed and Private Machine Learning: 2021
    • AGI  ICLR AGI Workshop: 2024
    • TDSC  IEEE Transactions on Dependable and Secure Computing
    • T-IFS  IEEE Transactions on Information Forensics & Security
    • TOPS  ACM Transactions on Privacy and Security
    • TMLR  Transactions on Machine Learning Research