Xiaoting Li

Staff Research Scientist

Research areas: Program analysis, adversarial machine learning and graph learning

Xiaoting Li, Visa Research scientist.

Biography

Dr. Xiaoting Li joined Visa Research as a Staff Research Scientist in March 2022. Xiaoting received her Ph.D. in Information Sciences and Technology at Penn State University in 2022, and B.S. in Information Security from University of Electronic Sciences and Technology of China in 2017. Before joining Visa Research, Xiaoting worked as a Research Assistant at Penn State University. In her Ph.D. dissertation, she focused on studies of enhancing the robustness of different ML systems and exploring the applicability of adversarial machine learning in security-critical scenarios.

As a member of Artificial Intelligence team, her research interests span from Machine Learning/Deep Learning to Software Security and Program Analysis. In particular, she did extensive study on software fuzzing problem and adversarial machine learning among various model types. She has published multiple works in top-tier conferences, including International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), SIAM International Conference on Data Mining (SDM), International Conference on Software Engineering (ICSE), AAAI Conference on Artificial Intelligence, and others.

Thesis

The Good, the Bad and the Ugly: Exploring the Robustness and Applicability of Adversarial Machine Learning; Xiaoting Li, 2022

Publications

  • ALPHAPROG: Reinforcement Generation of Valid Programs for Compiler Fuzzing. Xiaoting Li, Xiao Liu, Lingwei Chen, Rupesh Prajapati, and Dinghao Wu.Annual Conference on Innovative Applications of Artificial Intelligence (IAAI22), Vancouver, Canada, Feb 2022.
  • Turning Attacks into Protection: Social Media Privacy Protection Using Adversarial Attacks. Xiaoting Li, Lingwei Chen, and Dinghao Wu. SIAM International Conference on Data Mining (SDM21), Virginia, U.S, Apr 2021.
  • Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks. Xiaoting Li, Lingwei Chen, Jingquan Zhang, James Larus, and Dinghao Wu.International Joint Conference on Neural Networks (IJCNN21), Shenzhen, China, Jul 2021.