Zhouxing Shi

UCLA

About me

I am a Ph.D. Candidate at UCLA Computer Science Department, advised by Prof. Cho-Jui Hsieh. Before that, I received my B.Eng. degree from the CST department at Tsinghua University where I worked with Prof. Minlie Huang.

Research

My research interest is machine learning, and my primary research focus is on trustworthy machine learning and the robustness of machine learning models. My works include:

Selected Preprints (* equal contribution)

Defending LLMs against Jailbreaking Attacks via Backtranslation
Formal Verification for Neural Networks with General Nonlinearities via Branch-and-Bound

Publications (* equal contribution)

Red Teaming Language Model Detectors with Language Models
Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Towards Robustness Certification Against Universal Perturbations
Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation
On the Adversarial Robustness of Vision Transformers
On the Sensitivity and Stability of Model Interpretations in NLP
On the Convergence of Certified Robust Training with Interval Bound Propagation
Robust Text CAPTCHAs Using Adversarial Examples
Fast Certified Robust Training with Short Warmup
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond
Robustness Verification for Transformers
Robustness to Modification with Shared Words in Paraphrase Identification

Internships

  • Research Scientist Intern at Meta, Sunnyvale
  • Student Researcher at Google Research, New York
  • Research Intern at JD AI Research, Shanghai
  • Research Intern at ByteDance AI Lab, Shanghai

Teaching

TA at UCLA:

Service