Pingchuan Ma

According to our database, Pingchuan Ma authored at least 49 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools.

Zongjie Li, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, Shuai Wang

IEEE Trans. Dependable Secur. Comput., 2024

PP-CSA: Practical Privacy-Preserving Software Call Stack Analysis.

Zhaoyu Wang, Pingchuan Ma, Huaijin Wang, Shuai Wang

Proc. ACM Program. Lang., 2024

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version).

Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang

CoRR, 2024

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner.

Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel

CoRR, 2024

Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs.

Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2024

How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation.

Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang

CoRR, 2024

Eliminating Information Leakage in Hard Concept Bottleneck Models with Supervised, Hierarchical Concept Learning.

Ao Sun, Yuanyuan Yuan, Pingchuan Ma, Shuai Wang

CoRR, 2024

An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios.

Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu

CoRR, 2024

Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior.

Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios.

Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu

Proceedings of the 23rd ACM/IEEE International Conference on Information Processing in Sensor Networks, 2024

On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study.

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning.

Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

ASAP: Automated Sequence Planning for Complex Robotic Assembly with Physical Feasibility.

Yunsheng Tian, Karl D. D. Willis, Bassel Al Omari, Jieliang Luo, Pingchuan Ma, Yichen Li, Farhad Javid, Edward Gu, Joshua Jacob, Shinjiro Sueda, Hui Li, Sachin Chitta, Wojciech Matusik

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Split and Merge: Aligning Position Biases in LLM-based Evaluators.

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Testing Graph Database Systems via Graph-Aware Metamorphic Relations.

Zeyang Zhuang, Penghui Li, Pingchuan Ma, Wei Meng, Shuai Wang

Proc. VLDB Endow., December, 2023

sem2vec: Semantics-aware Assembly Tracelet Embedding.

Huaijin Wang, Pingchuan Ma, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu

ACM Trans. Softw. Eng. Methodol., July, 2023

Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking.

Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu

IEEE Trans. Software Eng., 2023

XInsight: eXplainable Data Analysis Through The Lens of Causality.

Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang

Proc. ACM Manag. Data, 2023

VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models.

Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao

CoRR, 2023

InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models.

Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2023

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach.

Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

CoRR, 2023

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators.

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu

CoRR, 2023

Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version).

Pingchuan Ma, Zhenlan Ji, Peisen Yao, Shuai Wang, Kui Ren

CoRR, 2023

"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process.

Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang

CoRR, 2023

Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System.

Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang

CoRR, 2023

On the Feasibility of Specialized Ability Extracting for Large Language Code Models.

Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao

CoRR, 2023

Towards Practical Federated Causal Structure Learning.

Zhaoyu Wang, Pingchuan Ma, Shuai Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation.

Ao Sun, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Causality-Aided Trade-Off Analysis for Machine Learning Fairness.

Zhenlan Ji, Pingchuan Ma, Shuai Wang, Yanhui Li

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis.

Zhenlan Ji, Pingchuan Ma, Shuai Wang

Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

CC: Causality-Aware Coverage Criterion for Deep Neural Networks.

Zhenlan Ji, Pingchuan Ma, Yuanyuan Yuan, Shuai Wang

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

InsightPilot: An LLM-Empowered Automated Data Exploration System.

Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers.

Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, Shuai Wang

IEEE Trans. Inf. Forensics Secur., 2022

NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model.

Pingchuan Ma, Zhenlan Ji, Qi Pang, Shuai Wang

IEEE Trans. Inf. Forensics Secur., 2022

Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning.

Zhenlan Ji, Pingchuan Ma, Shuai Wang

Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

ML4S: Learning Causal Skeleton from Vicinal Graphs.

Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs.

Wai Kin Wong, Huaijin Wang, Pingchuan Ma, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen, Qiyi Tang, Sen Nie, Shi Wu

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings.

Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations.

Pingchuan Ma, Shuai Wang

Proc. VLDB Endow., 2021

MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis.

Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

2020

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing.

Pingchuan Ma, Shuai Wang

CoRR, 2020

Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices.

Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Jianyi Zhang, Tao Yang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models.

Pingchuan Ma, Shuai Wang, Jin Liu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

2019

Security of Medical Cyber-physical Systems: An Empirical Study on Imaging Devices.

Zhiqiang Wang, Pingchuan Ma, Xiaoxiang Zou, Tao Yang

CoRR, 2019

Differentially Private Reinforcement Learning.

Pingchuan Ma, Zhiqiang Wang, Le Zhang, Ruming Wang, Xiaoxiang Zou, Tao Yang

Proceedings of the Information and Communications Security - 21st International Conference, 2019

A Quantitative Approach for Medical Imaging Device Security Assessment.

Pingchuan Ma, Zhiqiang Wang, Xiali Hei, Xiaoxiang Zou, Jianyi Zhang, Qixu Liu, Xin Lyu, Zihan Zhuo

Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

2018

VulAware: Towards Massive-Scale Vulnerability Detection in Cyberspace.

Zhiqiang Wang, Pingchuan Ma, Ruming Wang, Shichun Gao, Xuying Zhao, Tao Yang

Proceedings of the Machine Learning and Intelligent Communications, 2018

Large-scale Malware Automatic Detection Based On Multiclass Features and Machine Learning.

Zhiqiang Wang, Yao Tang, Jing Yao, Rong Qian, Zheng Zhang, Pingchuan Ma

Proceedings of the 2nd International Conference on Computer Science and Application Engineering, 2018

Medical Devices are at Risk: Information Security on Diagnostic Imaging System.

Zhiqiang Wang, Pingchuan Ma, Yaping Chi, Jianyi Zhang

Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018