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Zhiyuan Cheng

Ph.D. in Computer Science
Purdue University
cheng443 (at) alumni.purdue.edu
cheng443 (at) purdue.edu


Short Bio

I earned my Ph.D. in Computer Science from Purdue University in 2024, under the esteemed guidance of Samuel Conte Professor Xiangyu Zhang. Previously, I obtained my bachelor’s degree with distinction in Computer Science from Wuhan University (WHU), and I was fortunate to be advised by Prof. Xiaoguang Niu (WHU) and Prof. Jiannong Cao (PolyU) during my undergraduate studies.

My research interest lies at the intersection of Artificial Intelligence and Security, and I specialize in Trustworthy Machine Learning. Specifically, I focus on enhancing the robustness and security of AI-driven applications such as 3D perception, autonomous driving, robotic systems, etc. Additionally, I explore security topics around AI-generated content (AIGC) and foundation models/LLM.

Publications [ Google Scholar ]

  1. ASE'24
    ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation
    Shiwei Feng, Yapeng Ye, Qingkai Shi, Zhiyuan Cheng, Xiangzhe Xu, Siyuan Cheng, Hongjun Choi, Xiangyu Zhang
    IEEE/ACM International Conference on Automated Software Engineering (ASE'24), 2024.
    PDF BibTex Distinguished Paper Award

  2. TPAMI'24
    Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
    Zhiyuan Cheng, Cheng Han, James Liang, Qifan Wang, Xiangyu Zhang, Dongfang Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024.
    PDF BibTex

  3. ICML'24
    BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks
    Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo, Shiwei Feng, Dongfang Liu, Mingjie Tang, Xiangyu Zhang
    International Conference on Machine Learning (ICML), 2024.
    PDF BibTex

  4. ICLR'24
    Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
    Zhiyuan Cheng, Hongjun Choi, Shiwei Feng, James Chenhao Liang, Guanhong Tao, Dongfang Liu, Michael Zuzak, Xiangyu Zhang
    International Conference on Learning Representations (ICLR), 2024.
    PDF BibTex

  5. VLDB'24
    GPTuner: A Manual-Reading Database Tuning System via GPT-Guided Bayesian Optimization
    Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
    International Conference on Very Large Data Bases (VLDB), 2024.
    PDF BibTex

  6. SIGMOD'24
    A Demonstration of GPTuner: A GPT-Based Manual-Reading Database Tuning System
    Jiale Lao, Yibo Wang, Yufei Li, Jianping Wang, Yunjia Zhang, Zhiyuan Cheng, Wanghu Chen, Mingjie Tang, Jianguo Wang
    International Conference on Management of Data (SIGMOD), 2024.
    PDF BibTex

  7. ICLR'23
    Adversarial Training of Self-supervised Monocular Depth Estimation Against Physical-World Attacks
    Zhiyuan Cheng, James Liang, Guanhong Tao, Dongfang Liu, Xiangyu Zhang
    International Conference on Learning Representations (ICLR), 2023.
    PDF BibTex Spotlight

  8. ECCV'22
    Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches
    Zhiyuan Cheng, James Liang, Hongjun Choi, Guanhong Tao, Zhiwen Cao, Dongfang Liu, Xiangyu Zhang
    European Conference on Computer Vision (ECCV), 2022.
    PDF BibTex

  9. NDSS'22
    RvPlayer: Robotic Vehicle Forensics by Replay with What-If Reasoning
    Hongjun Choi, Zhiyuan Cheng, Xiangyu Zhang
    Network and Distributed System Security Symposium (NDSS), 2022.
    PDF BibTex

Teaching

Talks

Towards Secure and Robust Perception of Autonomous Vehicles in the Physical World

Adversarial Training of Self-supervised Monocular Depth Estimation

Experience

Honors & Awards

Services

Program Committee/Reviewer

Sub-Reviewer

Conference Volunteer


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