Open-Source AI-based SE Tools: Opportunities and Challenges of Collaborative Software Learning

no code implementations • 9 Apr 2024 • ZhiHao Lin, Wei Ma, Tao Lin, Yaowen Zheng, Jingquan Ge, Jun Wang, Jacques Klein, Tegawende Bissyande, Yang Liu, Li Li

We introduce a governance framework centered on federated learning (FL), designed to foster the joint development and maintenance of open-source AI code models while safeguarding data privacy and security.

Federated Learning

A Cross-Language Investigation into Jailbreak Attacks in Large Language Models

no code implementations • 30 Jan 2024 • Jie Li, Yi Liu, Chongyang Liu, Ling Shi, Xiaoning Ren, Yaowen Zheng, Yang Liu, Yinxing Xue

To address this research gap, we conducted an extensive empirical study on Multilingual Jailbreak attacks.

Text Generation

Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

no code implementations • 23 May 2023 • Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, Kailong Wang, Yang Liu

Our study investigates three key research questions: (1) the number of different prompt types that can jailbreak LLMs, (2) the effectiveness of jailbreak prompts in circumventing LLM constraints, and (3) the resilience of ChatGPT against these jailbreak prompts.

Prompt Engineering