72 citations · 176 across the 22 of their papers we have counts for
5 papers · 1 filter
Comprehensive Assessment of Toxicity in ChatGPT
Boyang Zhang, Xinyue Shen, Wai Man Si +6
Moderating offensive, hateful, and toxic language has always been an important but challenging topic in the domain of safe use in NLP. The emerging large language models (LLMs), su…
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
Xinyue Shen, Zeyuan Chen, Michael Backes +2
The misuse of large language models (LLMs) has drawn significant attention from the general public and LLM vendors. One particular type of adversarial prompt, known as jailbreak pr…
Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Yiting Qu, Xinyue Shen, Xinlei He +3
State-of-the-art Text-to-Image models like Stable Diffusion and DALLE2 are revolutionizing how people generate visual content. At the same time, society has serious concerns…
In ChatGPT We Trust? Measuring and Characterizing the Reliability of ChatGPT
Xinyue Shen, Zeyuan Chen, Michael Backes +1
The way users acquire information is undergoing a paradigm shift with the advent of ChatGPT. Unlike conventional search engines, ChatGPT retrieves knowledge from the model itself a…
MGTBench: Benchmarking Machine-Generated Text Detection
Xinlei He, Xinyue Shen, Zeyuan Chen +2
Nowadays, powerful large language models (LLMs) such as ChatGPT have demonstrated revolutionary power in a variety of tasks. Consequently, the detection of machine-generated texts…