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I am a PhD student in Computer Science at Rochester Institute of Technology (RIT), advised by Dr. Yidan Hu.
My primary research area is Data Privacy. Specifically, I currently focus on Differential Privacy.
Resume -  G. Scholar -  GitHub -  ZhiHu
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Boosting Multi-neuron Convex Relaxation for Neural Network Verification  

Xuezhou Tang, Ye Zheng, Jiaxiang Liu
International Static Analysis Symposium (SAS), 2023

MpBP: Verifying Robustness of Neural Networks with Multi-path Bound Propagation   Code   Slides

Ye Zheng, Jiaxiang Liu, Xiaomu Shi
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE Demonstration), 2022

基于多路径回溯的神经网络验证方法 and the English version Multi-path Back-propagation Method for Neural Network Verification   Code   Slides

软件学报 (JOS), 2022; International Journal of Software and Informatics (IJSI), 2022

Paper Comments and Notes

Comments and notes of the papers related to my research topics, organized by publication year.

硕士学位论文《多路径方法在神经网络验证中的研究与应用》  PDF   Slides

本文关注神经网络验证方法中界限传播方法的精度问题。关于此问题,本文提出界限传播路径的概念,将各种界限传播方法扩展到其对应的多路径界限传播方法;此外,本文将多路径界限传播在 PyTorch 框架上并行化,开发了高效而易用的鲁棒性验证工具。

More Bio
Shenzhen University (2020 - 2023)
  • Master's degree in Software Engineering
  • Research areas: Neural Network Verification and Formal Verification, advised by Dr. Jiaxiang Liu
Henan University (2016 - 2020)
  • Bachelor's degree in Mathematics
  • Majored in Pure Mathematics, advised by Dr. Zhonghua Wang