Xiaoting Li

Ph.D. Candidate
College of Information Sciences and Technology
The Pennsylvania State University
Mailing Address:
E362 Westgate Building
University Park, PA 16802

E-mail: xxl237@psu.edu

CV, Github, LinkedIn

I am a fifth year Ph.D. candidate in the College of Information Sciences and Technology at the Pennsylvania State University. My advisor is Dr. Dinghao Wu. Before coming to Penn State, I received my bechaler's degree at University of Electronic Sciences and Technology of China (2013-2017) and accomplished part of my bechaler's thesis "Improving the Robustness of Spiking Neural Networks" at University of Strathclyde (2016-2017).

My research interest intersects Machine Learning/Deep Learning, Software Security and program analysis. I have been extensively studying to leverage data analytic approaches of machine learning to solve different security problems. Currently, I am more focusing on enhancing the robustness of different ML systems and exploring the applicability of adversarial machine learning in some security-critical scenarios.

Most Recent News!

Research Experiences:


  1. ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing, by Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, and Dinghao Wu. In Proceedings of Annual Conference on Innovative Applications of Artificial Intelligence (IAAI22), Vancouver, Canada, Feb 2022.
  2. Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks, by Xiaoting Li, Lingwei Chen, Jingquan Zhang, James Larus, and Dinghao Wu. In Proceedings of International Joint Conference on Neural Networks (IJCNN21), Shenzhen, China, Jul 2021.
  3. Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks, by Xiaoting Li, Lingwei Chen, and Dinghao Wu. In Proceedings of SIAM International Conference on Data Mining (SDM21), Virginia, U.S, Apr 2021.
  4. Abacus: Precise Side-Channel Analysis, by Qinkun Bao, Zihao Wang, Xiaoting Li, James Larus, and Dinghao Wu. In Proceedings of 43rd International Conference on Software Engineering (ICSE21), Madrid, Spain, May 2021.
  5. Enhancing Robustness of Graph Convolutional Networks via Dropping Graph Connections, by Lingwei Chen, Xiaoting Li, and Dinghao Wu. In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2020), Ghent, Belgium, Sep 2020.
  6. DEEPFUZZ: Automatic Generation of Syntactically Correct C Programs for Fuzz Testing, by Xiao Liu, Xiaoting Li, Rupesh Prajapati, and Dinghao Wu. In Proceedings of 33th AAAI Conference on Artificial Intelligence (AAAI '19), Honolulu, Hawaii, USA, January 27 - February 1, 2019. (Acceptance rate 16.2%)

Teaching Experiences

Teaching Assistant

Honors and Awards:


I love acrylic painting and traveling. I also enjoy shopping and sharing my thoughts about outfit looks on Red (an app for sharing interesting life). For me, bug-free codes and chic clothes are always the source of happiness in my Ph.D. life :D!