Yuekang Li

Orcid: 0000-0003-4382-0757

According to our database1, Yuekang Li authored at least 58 papers between 2017 and 2024.

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Bibliography

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

Continuous Embedding Attacks via Clipped Inputs in Jailbreaking Large Language Models.
CoRR, 2024

Source Code Summarization in the Era of Large 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

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

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

Demystifying RCE Vulnerabilities in LLM-Integrated Apps.
CoRR, 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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