Pingchuan Ma

I am a third year Ph.D. candidate 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

sem2vec: Semantics-Aware Assembly Tracelet Embedding
XInsight: eXplainable Data Analysis Through The Lens of Causality
PerfCE: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis
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, 2022.6 - present
  • 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

  • Learning Causal Skeleton from Vicinal Graphs, Microsoft Research Asia, 5 Aug, 2022.
  • Towards Dependable and Transparent Data Analytics Platforms, Microsoft Research Asia, 10 Mar, 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/Reviewer of AISTATS '23, PETS '23 Artifact Evaluation, PETS '22 Artifact Evaluation, ISSTA '22 Artifact Evaluation, EuroSys '22 Artifact Evaluation
  • Sub-Reviewer of ISSTA '23, USENIX Security '23, NeurIPS '22, PETS '22, CCS '22, ASE '22, DBTest '22, AsiaCCS '22, AsiaCCS '21, ICSE '20 Artifact Evaluation, and USENIX Security '20 Artifact Evaluation

Teaching Experience

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