Yi Liu

Orcid: 0000-0002-4978-127X

Affiliations:
  • Nanyang Technological University, Singapore
  • Southern University of Science and Technology, Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, Shenzhen, China


According to our database1, Yi Liu authored at least 33 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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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

Repairing Catastrophic-Neglect in Text-to-Image Diffusion Models via Attention-Guided Feature Enhancement.
CoRR, 2024

Oedipus: LLM-enchanced Reasoning CAPTCHA Solver.
CoRR, 2024

Groot: Adversarial Testing for Generative Text-to-Image Models with Tree-based Semantic Transformation.
CoRR, 2024

Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues.
CoRR, 2024

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

A Cross-Language Investigation into Jailbreak Attacks in Large Language Models.
CoRR, 2024

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

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

2023
A Prompt Learning Framework for Source Code Summarization.
CoRR, 2023

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.
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

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

Effective ReDoS Detection by Principled Vulnerability Modeling and Exploit Generation.
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

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

2022
RESTInfer: automated inferring parameter constraints from natural language RESTful API descriptions.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

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

RESTCluster: Automated Crash Clustering for RESTful API.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

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

2021
Automatic Web Testing Using Curiosity-Driven Reinforcement Learning.
Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering, 2021

2020
Industry Practice of JavaScript Dynamic Analysis on WeChat Mini-Programs.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

An Exploratory Study of Bugs in Extended Reality Applications on the Web.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019
JSOptimizer: an extensible framework for JavaScript program optimization.
Proceedings of the 41st International Conference on Software Engineering: Companion Proceedings, 2019


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