Shuai Wang

Orcid: 0000-0002-0866-0308

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong
  • ETH Zurich, Switzerland (former)
  • Penn State University, University Park, PA, USA (PhD 2018)


According to our database1, Shuai Wang authored at least 83 papers between 2015 and 2024.

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Timeline

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Bibliography

2024
BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023
Testing Graph Database Systems via Graph-Aware Metamorphic Relations.
Proc. VLDB Endow., December, 2023

sem2vec: Semantics-aware Assembly Tracelet Embedding.
ACM Trans. Softw. Eng. Methodol., July, 2023

Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking.
IEEE Trans. Software Eng., 2023

XInsight: eXplainable Data Analysis Through The Lens of Causality.
Proc. ACM Manag. Data, 2023

Split and Merge: Aligning Position Biases in Large Language Model based Evaluators.
CoRR, 2023

Enabling Runtime Verification of Causal Discovery Algorithms with Automated Conditional Independence Reasoning (Extended Version).
CoRR, 2023

Explain Any Concept: Segment Anything Meets Concept-Based Explanation.
CoRR, 2023

"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process.
CoRR, 2023

Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System.
CoRR, 2023

On the Feasibility of Specialized Ability Extracting for Large Language Code Models.
CoRR, 2023

CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software.
Proceedings of the 32nd USENIX Security Symposium, 2023

Precise and Generalized Robustness Certification for Neural Networks.
Proceedings of the 32nd USENIX Security Symposium, 2023

Decompiling x86 Deep Neural Network Executables.
Proceedings of the 32nd USENIX Security Symposium, 2023

CipherH: Automated Detection of Ciphertext Side-channel Vulnerabilities in Cryptographic Implementations.
Proceedings of the 32nd USENIX Security Symposium, 2023

RingGuard: Guard io_uring with eBPF.
Proceedings of the 1st Workshop on eBPF and Kernel Extensions, 2023

Towards Practical Federated Causal Structure Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

OBSan: An Out-Of-Bound Sanitizer to Harden DNN Executables.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Causality-Aided Trade-Off Analysis for Machine Learning Fairness.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

RLTrace: Synthesizing High-Quality System Call Traces for OS Fuzz Testing.
Proceedings of the Information Security - 26th International Conference, 2023

Exploring Missed Optimizations in WebAssembly Optimizers.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Beyond "Protected" and "Private": An Empirical Security Analysis of Custom Function Modifiers in Smart Contracts.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Revisiting Neuron Coverage for DNN Testing: A Layer-Wise and Distribution-Aware Criterion.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Metamorphic Shader Fusion for Testing Graphics Shader Compilers.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CCTEST: Testing and Repairing Code Completion Systems.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

CC: Causality-Aware Coverage Criterion for Deep Neural Networks.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

Secure Federated Correlation Test and Entropy Estimation.
Proceedings of the International Conference on Machine Learning, 2023

Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

Byzantine-Robust Federated Learning with Optimal Statistical Rates.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
NeuralD: Detecting Indistinguishability Violations of Oblivious RAM With Neural Distinguishers.
IEEE Trans. Inf. Forensics Secur., 2022

NoLeaks: Differentially Private Causal Discovery Under Functional Causal Model.
IEEE Trans. Inf. Forensics Secur., 2022

Generating Effective Software Obfuscation Sequences With Reinforcement Learning.
IEEE Trans. Dependable Secur. Comput., 2022

Metamorphic Testing of Deep Learning Compilers.
Proc. ACM Meas. Anal. Comput. Syst., 2022

On the effectiveness of testing sentiment analysis systems with metamorphic testing.
Inf. Softw. Technol., 2022

CCTEST: Testing and Repairing Code Completion Systems.
CoRR, 2022

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees.
CoRR, 2022

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems.
CoRR, 2022

Automated Side Channel Analysis of Media Software with Manifold Learning.
Proceedings of the 31st USENIX Security Symposium, 2022

SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications.
Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Unlearnable Examples: Protecting Open-Source Software from Unauthorized Neural Code Learning.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

ML4S: Learning Causal Skeleton from Vicinal Graphs.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Unveiling Hidden DNN Defects with Decision-Based Metamorphic Testing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MDPFuzz: testing models solving Markov decision processes.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Deceiving Deep Neural Networks-Based Binary Code Matching with Adversarial Programs.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Torpedo: A Fuzzing Framework for Discovering Adversarial Container Workloads.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

Cache Refinement Type for Side-Channel Detection of Cryptographic Software.
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security, 2022

2021
MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations.
Proc. VLDB Endow., 2021

MDPFuzzer: Finding Crash-Triggering State Sequences in Models Solving the Markov Decision Process.
CoRR, 2021

Enhancing Deep Neural Networks Testing by Traversing Data Manifold.
CoRR, 2021

You Can't See the Forest for Its Trees: Assessing Deep Neural Network Testing via NeuraL Coverage.
CoRR, 2021

FED-χ<sub>2</sub>: Privacy Preserving Federated Correlation Test.
CoRR, 2021

SANRAZOR: Reducing Redundant Sanitizer Checks in C/C++ Programs.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

Private Image Reconstruction from System Side Channels Using Generative Models.
Proceedings of the 9th International Conference on Learning Representations, 2021

Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Large-Scale Third-Party Library Detection in Android Markets.
IEEE Trans. Software Eng., 2020

MT-Teql: Evaluating and Augmenting Consistency of Text-to-SQL Models with Metamorphic Testing.
CoRR, 2020

F2ED-Learning: Good Fences Make Good Neighbors.
CoRR, 2020

Metamorphic Object Insertion for Testing Object Detection Systems.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

How far we have come: testing decompilation correctness of C decompilers.
Proceedings of the ISSTA '20: 29th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2020

Metamorphic Testing and Certified Mitigation of Fairness Violations in NLP Models.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Quantitative Assessment on the Limitations of Code Randomization for Legacy Binaries.
Proceedings of the IEEE European Symposium on Security and Privacy, 2020

2019
Detecting nondeterministic payment bugs in Ethereum smart contracts.
Proc. ACM Program. Lang., 2019

Identifying Cache-Based Side Channels through Secret-Augmented Abstract Interpretation.
Proceedings of the 28th USENIX Security Symposium, 2019

Automatic grading of programming assignments: an approach based on formal semantics.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training, 2019

2018
RedDroid: Android Application Redundancy Customization Based on Static Analysis.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

Software protection on the go: a large-scale empirical study on mobile app obfuscation.
Proceedings of the 40th International Conference on Software Engineering, 2018

2017
CacheD: Identifying Cache-Based Timing Channels in Production Software.
Proceedings of the 26th USENIX Security Symposium, 2017

Turing Obfuscation.
Proceedings of the Security and Privacy in Communication Networks, 2017

Lambda Obfuscation.
Proceedings of the Security and Privacy in Communication Networks, 2017

In-memory fuzzing for binary code similarity analysis.
Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Semantics-Aware Machine Learning for Function Recognition in Binary Code.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

Composite Software Diversification.
Proceedings of the 2017 IEEE International Conference on Software Maintenance and Evolution, 2017

LibD: scalable and precise third-party library detection in android markets.
Proceedings of the 39th International Conference on Software Engineering, 2017

Binary Code Retrofitting and Hardening Using SGX.
Proceedings of the 2017 Workshop on Forming an Ecosystem Around Software Transformation, 2017

2016
Exploiting Insurance Telematics for Fun and Profit.
CoRR, 2016

UROBOROS: Instrumenting Stripped Binaries with Static Reassembling.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

From Physical to Cyber: Escalating Protection for Personalized Auto Insurance.
Proceedings of the 14th ACM Conference on Embedded Network Sensor Systems, SenSys 2016, 2016

Translingual Obfuscation.
Proceedings of the IEEE European Symposium on Security and Privacy, 2016

2015
Reassembleable Disassembling.
Proceedings of the 24th USENIX Security Symposium, 2015


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