Dr. Hanshen Xiao

Assistant Professor

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Biography

Hanshen Xiao is an Assistant Professor in the Department of Computer Science at Purdue University. He received his Ph.D. in Computer Science from the Massachusetts Institute of Technology (MIT) in 2024, preceded by his M.S. from MIT in 2019 and his B.S. in Mathematics from Tsinghua University in 2017. Prior to joining Purdue, he was a research scientist at NVIDIA Research. His research primarily focuses on provably trustworthy machine learning computation, with particular emphasis on automated black-box privatization, differential trust applications, and backdoor defense mechanisms. His work includes algorithmic approaches to trustworthiness evaluation in machine learning systems and addresses key challenges in the field related to data privacy and security.

Research Interests

Machine Learning Trustworthy Machine Learning Automated Black-Box Privatization Differential Privacy Backdoor Defense

Requirements for Purdue University

Master Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
Duolingo
Overall Score
Required:135
Overall
Required:135
Prerequisites
Bachelor's degree in CS or related field Foundational concepts of computer science Data structures Computer architecture Operating systems Mathematics through differential equations Linear and matrix algebra
Application Checklist
  • Official Transcripts
  • Academic Statement of Purpose
  • Personal History Statement
  • Resume
  • Three Letters of Recommendation
  • CS Supplementary Form
Specialization Notes

GRE is not required.