Cover Image

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Yi, Deng, Gelei, Xu, Zhengzi, Li, Yuekang, Zheng, Yaowen, Zhang, Ying, Zhao, Lida, Zhang, Tianwei, Wang, Kailong, Liu, Yang
Format:	Preprint
Published:	2023
Subjects:	Software Engineering Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Empirical Study of ChatGPT-Related Projects and Their Issues on GitHub
by: Lin, Zheng, et al.
Published: (2024)

An Empirical Study of the Non-determinism of ChatGPT in Code Generation
by: Ouyang, Shuyin, et al.
Published: (2023)

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool
by: Deng, Gelei, et al.
Published: (2023)

Prompt Injection attack against LLM-integrated Applications
by: Liu, Yi, et al.
Published: (2023)

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT
by: Zhang, Chenyuan, et al.
Published: (2023)

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation
by: Wang, Guanyu, et al.
Published: (2024)

What Makes a Good LLM Agent for Real-world Penetration Testing?
by: Deng, Gelei, et al.
Published: (2026)

Glitch Tokens in Large Language Models: Categorization Taxonomy and Effective Detection
by: Li, Yuxi, et al.
Published: (2024)

Evaluating and Improving ChatGPT-Based Expansion of Abbreviations
by: Jiang, Yanjie, et al.
Published: (2024)

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale
by: Liu, Yi, et al.
Published: (2026)

DevGPT: Studying Developer-ChatGPT Conversations
by: Xiao, Tao, et al.
Published: (2023)

SPOLRE: Semantic Preserving Object Layout Reconstruction for Image Captioning System Testing
by: Liu, Yi, et al.
Published: (2024)

An Empirical Study on Developers Shared Conversations with ChatGPT in GitHub Pull Requests and Issues
by: Hao, Huizi, et al.
Published: (2024)

ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts
by: AlOmar, Eman Abdullah, et al.
Published: (2025)

Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions
by: Kabir, Samia, et al.
Published: (2023)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
by: Khanmohammadi, Kobra, et al.
Published: (2025)

Self-collaboration Code Generation via ChatGPT
by: Dong, Yihong, et al.
Published: (2023)

Is ChatGPT 3 safe for students?
by: Kotovich, Julia, et al.
Published: (2024)

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub
by: Li, Ruiyin, et al.
Published: (2025)

On Repairing Quantum Programs Using ChatGPT
by: Guo, Xiaoyu, et al.
Published: (2024)

Enhancing User Interaction in ChatGPT: Characterizing and Consolidating Multiple Prompts for Issue Resolution
by: Mondal, Saikat, et al.
Published: (2024)

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT
by: Liu, Zhijie, et al.
Published: (2023)

Why Do Developers Engage with ChatGPT in Issue-Tracker? Investigating Usage and Reliance on ChatGPT-Generated Code
by: Das, Joy Krishan, et al.
Published: (2024)

Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
by: Della Porta, Antonio, et al.
Published: (2025)

Drowzee: Metamorphic Testing for Fact-Conflicting Hallucination Detection in Large Language Models
by: Li, Ningke, et al.
Published: (2024)

Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study
by: Das, Joy Krishan, et al.
Published: (2024)

Overeager Coding Agents: Measuring Out-of-Scope Actions on Benign Tasks
by: Qu, Yubin, et al.
Published: (2026)

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair
by: Zhang, Quanjun, et al.
Published: (2023)

Pros and Cons! Evaluating ChatGPT on Software Vulnerability
by: Yin, Xin
Published: (2024)

The role of library versions in Developer-ChatGPT conversations
by: Raj, Rachna, et al.
Published: (2024)

CUPID: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection
by: Zhang, Ting, et al.
Published: (2023)

ChatGPT as a Software Development Bot: A Project-based Study
by: Waseem, Muhammad, et al.
Published: (2023)

Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT
by: Donato, Benedetta, et al.
Published: (2025)

How to Refactor this Code? An Exploratory Study on Developer-ChatGPT Refactoring Conversations
by: AlOmar, Eman Abdullah, et al.
Published: (2024)

ChatGPT Inaccuracy Mitigation during Technical Report Understanding: Are We There Yet?
by: Tamanna, Salma Begum, et al.
Published: (2024)

No More Manual Tests? Evaluating and Improving ChatGPT for Unit Test Generation
by: Yuan, Zhiqiang, et al.
Published: (2023)

MiniScope: Automated UI Exploration and Privacy Inconsistency Detection of MiniApps via Two-phase Iterative Hybrid Analysis
by: Wang, Shenao, et al.
Published: (2024)

Is ChatGPT a Good Software Librarian? An Exploratory Study on the Use of ChatGPT for Software Library Recommendations
by: Latendresse, Jasmine, et al.
Published: (2024)

SOGPTSpotter: Detecting ChatGPT-Generated Answers on Stack Overflow
by: Ma, Suyu, et al.
Published: (2026)

How I Learned to Stop Worrying and Love ChatGPT
by: Przymus, Piotr, et al.
Published: (2025)