Pingchuan Ma

I am a second year Ph.D. student at Department of Computer Science and Engineering, Hong Kong University of Science and Technology (HKUST), under the supervision of Prof. Shuai Wang. I received my B.Eng. from Beijing Electronic Science and Technology Institute. My research interests include data management and software security.

I can be reached at pmaab at cse dot ust dot hk.

Research Highlight

Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs
NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model
ML4S: Learning Causal Skeleton from Vicinal Graphs
Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM with Neural Distinguishers
Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis
Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models

Award

  • Microsoft Research Asia "Star of Tomorrow" Award, March 2022.
  • NVIDIA Academic Hardware Grant, March 2022.

Experience

  • Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2021.6 - 2022.4
  • Research Intern, Microsoft Research Asia, mentored by Justin Ding, 2019.12 - 2020.6
  • Research Intern, NISL, Tsinghua University, advised by Prof. Chao Zhang, 2019.5 - 2019.9
  • Research Intern, CNCERT/CC, advised by Dr. Zhiqiang Wang, 2018.9 - 2019.5

Talk

  • Towards Dependable and Transparent Data Analytics Platforms, Microsoft Research Asia, 10 March, 2022.
  • Automated Fairness Testing and Beyond, Microsoft Research Asia Causality Reading Group, 6 Sept, 2021.
  • Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models (in Chinese), AI Time, 15 Jan, 2021.

Academic Service

  • Program Committee of PETS '22 Artifact Evaluation, ISSTA '22 Artifact Evaluation, EuroSys '22 Artifact Evaluation
  • External Reviewer of PETS '22, CCS '22, ASE '22, DBTest '22, AsiaCCS '22, AsiaCCS '21, ICSE '20 Artifact Evaluation, and USENIX Security '20 Artifact Evaluation
  • Reviewer of International Journal of Network Security

Teaching Experience

  • Teaching Assistant, COMP4901N: Competitive Programming in Cybersecurity (Fall 2021)
  • Teaching Assistant, COMP6613C: Topics in Computer Security and Privacy (Spring 2021)