Yuekang Li

Orcid: 0000-0003-4382-0757

According to our database1, Yuekang Li authored at least 119 papers between 2017 and 2026.

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Bibliography

2026
SNARE: Adaptive Scenario Synthesis for Eliciting Overeager Behavior in Coding Agents.
CoRR, May, 2026

MIRAGE: Context-Aware Prompt Injection against Mobile GUI Agents via User-Generated Content.
CoRR, May, 2026

Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks.
CoRR, May, 2026

Spectre: Automated Aliasing Specification Generation for Library APIs with Fuzzing.
ACM Trans. Softw. Eng. Methodol., April, 2026

Membership Inference Attacks Against Video Large Language Models.
CoRR, April, 2026

LOLGORITHM: Funny Comment Generation Agent For Short Videos.
CoRR, April, 2026

Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems.
CoRR, April, 2026

Credential Leakage in LLM Agent Skills: A Large-Scale Empirical Study.
CoRR, April, 2026

Crossing the NL/PL Divide: Information Flow Analysis Across the NL/PL Boundary in LLM-Integrated Code.
CoRR, March, 2026

OptRCA: A More Efficient and Accurate Approach for Automated Root Cause Analysis and Explanation.
ACM Trans. Softw. Eng. Methodol., February, 2026

What Makes a Good LLM Agent for Real-world Penetration Testing?
CoRR, February, 2026

Malicious Agent Skills in the Wild: A Large-Scale Security Empirical Study.
CoRR, February, 2026

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale.
CoRR, January, 2026

Robust CAPTCHA Using Audio Illusions in the Era of Large Language Models: from Evaluation to Advances.
CoRR, January, 2026

NgCaptcha: A CAPTCHA Bridging the Past and the Future.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

DiverseClaire: Simulating Students to Improve Introductory Programming Course Materials for All CS1 Learners.
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Diverse Claire: An AI-Powered UDL Approach Bridging Educational Experience Gaps in CS1.
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Exploring Trust in Human-LLM Feedback Systems: Observation of Student Behaviour in Software Engineering Education.
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

CSTutorBench: Benchmarking Large Language Models for Realistic Computer Science Tutoring.
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

Through the Authentication Maze: Detecting Authentication Bypass Vulnerabilities in Firmware Binaries.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

MUTATO: Enhancing Fuzz Drivers with Adaptive API Option Mutation.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

LifeFuzz: Lifecycle-Guided Fuzzing for Windows Driver Cross-Handler Vulnerabilities.
Proceedings of the 21st European Conference on Computer Systems, 2026

STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Laugh, Relate, Engage: Stylized Comment Generation for Short Videos.
CoRR, November, 2025

DiffHeads: Differential Analysis and Inference-Time Masking of Bias Heads in Large Language Models.
CoRR, October, 2025

NeuroDeX: Unlocking Diverse Support in Decompiling Deep Neural Network Executables.
CoRR, September, 2025

TransferFuzz-Pro: Large Language Model Driven Code Debugging Technology for Verifying Propagated Vulnerability.
IEEE Trans. Software Eng., August, 2025

Help or Hurdle? Rethinking Model Context Protocol-Augmented Large Language Models.
CoRR, August, 2025

"Pull or Not to Pull?": Investigating Moral Biases in Leading Large Language Models Across Ethical Dilemmas.
CoRR, August, 2025

Beyond Uniform Criteria: Scenario-Adaptive Multi-Dimensional Jailbreak Evaluation.
CoRR, August, 2025

Prompt to Pwn: Automated Exploit Generation for Smart Contracts.
CoRR, August, 2025

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps <i>via</i> Two-phase Iterative Hybrid Analysis.
ACM Trans. Softw. Eng. Methodol., July, 2025

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation.
CoRR, July, 2025

ai.txt: A Domain-Specific Language for Guiding AI Interactions with the Internet.
CoRR, May, 2025

A Survey of Protocol Fuzzing.
ACM Comput. Surv., February, 2025

Detecting LLM Fact-conflicting Hallucinations Enhanced by Temporal-logic-based Reasoning.
CoRR, February, 2025

Indiana Jones: There Are Always Some Useful Ancient Relics.
CoRR, January, 2025

Mission: Impossible - Image-Based Geolocation with Large Vision Language Models.
Proc. Priv. Enhancing Technol., 2025

IllusionCAPTCHA: A CAPTCHA based on Visual Illusion.
Proceedings of the ACM on Web Conference 2025, 2025

A Methodology for Replicating Historical Exploits on EVM-Compatible Blockchains.
Proceedings of the 7th IEEE/ACM International Workshop on Emerging Trends in Software Engineering for Blockchain, 2025

From Constraints to Cracks: Constraint Semantic Inconsistencies as Vulnerability Beacons for Embedded Systems.
Proceedings of the 34th USENIX Security Symposium, 2025

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models.
Proceedings of the 2025 IEEE Security and Privacy, 2025

Good News for Script Kiddies? Evaluating Large Language Models for Automated Exploit Generation.
Proceedings of the 2025 IEEE Security and Privacy, 2025

A Rusty Link in the AI Supply Chain: Detecting Evil Configurations in Model Repositories.
Proceedings of the 2025 IEEE Security and Privacy, 2025

KRAKEN-FUZZ: Minimizing Corpus During Ensemble Fuzzing.
Proceedings of the IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2025

A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners.
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025

Truman: A Large Language Model-based Multi-agent Simulator for Synthetic Money Laundering Data Generation.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Source Code Summarization in the Era of Large Language Models.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering, 2025

MMLU-ProX: A Multilingual Benchmark for Advanced Large Language Model Evaluation.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

TombRaider: Entering the Vault of History to Jailbreak Large Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

It Only Gets Worse: Revisiting DL-Based Vulnerability Detectors from a Practical Perspective.
Proceedings of the 32nd Asia-Pacific Software Engineering Conference, 2025

2024
Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection.
Proc. ACM Softw. Eng., 2024

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models.
Proc. ACM Program. Lang., 2024

Image-Based Geolocation Using Large Vision-Language Models.
CoRR, 2024

Lockpicking LLMs: A Logit-Based Jailbreak Using Token-level Manipulation.
CoRR, 2024

HalluVault: A Novel Logic Programming-aided Metamorphic Testing Framework for Detecting Fact-Conflicting Hallucinations in Large Language Models.
CoRR, 2024

LLM Jailbreak Attack versus Defense Techniques - A Comprehensive Study.
CoRR, 2024

Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning.
CoRR, 2024

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis.
CoRR, 2024

A Survey of Protocol Fuzzing.
CoRR, 2024

Digger: Detecting Copyright Content Mis-usage in Large Language Model Training.
CoRR, 2024

Medusa: Unveil Memory Exhaustion DoS Vulnerabilities in Protocol Implementations.
Proceedings of the ACM on Web Conference 2024, 2024

Leveraging Semantic Relations in Code and Data to Enhance Taint Analysis of Embedded Systems.
Proceedings of the 33rd USENIX Security Symposium, 2024

PentestGPT: Evaluating and Harnessing Large Language Models for Automated Penetration Testing.
Proceedings of the 33rd USENIX Security Symposium, 2024

A Hitchhiker's Guide to Jailbreaking ChatGPT via Prompt Engineering.
Proceedings of the 4th International Workshop on Software Engineering and AI for Data Quality in Cyber-Physical Systems/Internet of Things, 2024

File Hijacking Vulnerability: The Elephant in the Room.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

MASTERKEY: Automated Jailbreaking of Large Language Model Chatbots.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

Improving Robustness of Hyperbolic Neural Networks by Lipschitz Analysis.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Rust-twins: Automatic Rust Compiler Testing through Program Mutation and Dual Macros Generation.
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024

How Effective Are They? Exploring Large Language Model Based Fuzz Driver Generation.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Bugs in Pods: Understanding Bugs in Container Runtime Systems.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation.
Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

Demystifying RCE Vulnerabilities in LLM-Integrated Apps.
Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

A Comprehensive Study of Jailbreak Attack versus Defense for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Dynamic material parameter inversion of high arch dam under discharge excitation based on the modal parameters and Bayesian optimised deep learning.
Adv. Eng. Informatics, April, 2023

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.
CoRR, 2023

Understanding Large Language Model Based Fuzz Driver Generation.
CoRR, 2023

Jailbreaker: Automated Jailbreak Across Multiple Large Language Model Chatbots.
CoRR, 2023

Prompt Injection attack against LLM-integrated Applications.
CoRR, 2023

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study.
CoRR, 2023

Automatic Code Summarization via ChatGPT: How Far Are We?
CoRR, 2023

Automata-Guided Control-Flow-Sensitive Fuzz Driver Generation.
Proceedings of the 32nd USENIX Security Symposium, 2023

NAUTILUS: Automated RESTful API Vulnerability Detection.
Proceedings of the 32nd USENIX Security Symposium, 2023

RSFuzzer: Discovering Deep SMI Handler Vulnerabilities in UEFI Firmware with Hybrid Fuzzing.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

ACETest: Automated Constraint Extraction for Testing Deep Learning Operators.
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

HasteFuzz: Full-Speed Fuzzing.
Proceedings of the IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2023

PumpChannel: An Efficient and Secure Communication Channel for Trusted Execution Environment on ARM-FPGA Embedded SoC.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

Monitoring Automotive Software Security Health through Trustworthiness Score.
Proceedings of the 7th ACM Computer Science in Cars Symposium, 2023

2022
RegexScalpel: Regular Expression Denial of Service (ReDoS) Defense by Localize-and-Fix.
Proceedings of the 31st USENIX Security Symposium, 2022

Morest: Industry Practice of Automatic RESTful API Testing.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Efficient greybox fuzzing of applications in Linux-based IoT devices via enhanced user-mode emulation.
Proceedings of the ISSTA '22: 31st ACM SIGSOFT International Symposium on Software Testing and Analysis, Virtual Event, South Korea, July 18, 2022

Morest: Model-based RESTful API Testing with Execution Feedback.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Windranger: A Directed Greybox Fuzzer driven by Deviation Basic Blocks.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

More Secure Collaborative APIs resistant to Flush-Based Cache Attacks on Cortex-A9 Based Automotive System.
Proceedings of the Computer Science in Cars Symposium, 2022

2021
APICraft: Fuzz Driver Generation for Closed-source SDK Libraries.
Proceedings of the 30th USENIX Security Symposium, 2021

AutoCom: Automatic Comment Generation for C Code.
Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering, 2021

BIFF: Practical Binary Fuzzing Framework for Programs of IoT and Mobile Devices.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

A First Look at the Effect of Deep Learning in Coverage-guided Fuzzing.
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

Vall-nut: Principled Anti-Grey box - Fuzzing.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

SoFi: Reflection-Augmented Fuzzing for JavaScript Engines.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
An Empirical Study on Benchmarks of Artificial Software Vulnerabilities.
CoRR, 2020

MUZZ: Thread-aware Grey-box Fuzzing for Effective Bug Hunting in Multithreaded Programs.
Proceedings of the 29th USENIX Security Symposium, 2020

MemLock: memory usage guided fuzzing.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Typestate-guided fuzzer for discovering use-after-free vulnerabilities.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Ori: A Greybox Fuzzer for SOME/IP Protocols in Automotive Ethernet.
Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019
Semantic-based vulnerability analysis of software
PhD thesis, 2019

Locating vulnerabilities in binaries via memory layout recovering.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

Cerebro: context-aware adaptive fuzzing for effective vulnerability detection.
Proceedings of the ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2019

DiffChaser: Detecting Disagreements for Deep Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Leopard: identifying vulnerable code for vulnerability assessment through program metrics.
Proceedings of the 41st International Conference on Software Engineering, 2019

2018
FOT: a versatile, configurable, extensible fuzzing framework.
Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Principled Greybox Fuzzing.
Proceedings of the Formal Methods and Software Engineering, 2018

Hawkeye: Towards a Desired Directed Grey-box Fuzzer.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Steelix: program-state based binary fuzzing.
Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017


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