I am an incoming Ph.D. student in Computer Science at Harvard University, advised by Prof. Hima Lakkaraju. Before that, I was an undergraduate student in Computer Science at University of Illinois Urbana-Champaign, where I was fortunate to be advised by Prof. Bo Li.

Research Interests: My current research interests is Trustworthy Machine Learning.

Publications

Peer-reviewed

• RigorLLM: Resilient Guardrails for Large Language Models against Undesired Content
  Zhuowen Yuan, Zidi Xiong, Yi Zeng, Ning Yu, Ruoxi Jia, Dawn Song, Bo Li
  ICML 2024
• BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
  Zhen Xiang, Fengqing Jiang, Zidi Xiong, Bhaskar Ramasubramanian, Radha Poovendran, Bo Li
  ICLR 2024.
  NeurIPS 2023 BUGS workshop Oral Presentation.
• DECODINGTRUST: A Comprehensive Assessment of Trustworthiness in GPT Models
  Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang T. Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li.
  NeurIPS 2023.
  Oral Presentation
  Outstanding Paper Award
• CBD: A Certified Backdoor Detector Based on Local Dominant Probability
  Zhen Xiang, Zidi Xiong, Bo Li.
  NeurIPS 2023.
• UMD: Unsupervised Model Detection for X2X Backdoor Attacks
  Zhen Xiang, Zidi Xiong, Bo Li.
  ICML 2023.
• Rethinking the Necessity of Labels in Backdoor Removal.
  Zidi Xiong, Dongxian Wu, Yifei Wang, Yisen Wang.
  ICLR 2023 BANDS workshop.

Preprints

• Label-Smoothed Backdoor Attack
  Minlong Peng, Zidi Xiong, Mingming Sun, Ping Li.

Awards

• NeurIPS 2023 Outstanding Paper Award

Education

• Harvard University - Ph.D. in Computer Science 2024 - 2029 (expected)
• University of Illinois Urbana-Champaign - B.S. in Mathematics and Computer Science 2019 - 2023.

Industrial Experience

• Baidu Research, CCL Lab - Research Intern
  2021.11-2022.06
  Supervised by Dr. Minlong Peng.

Contact

Email: zidixiong@g.harvard.edu