6 citations · 12 across the 3 of their papers we have counts for
3 papers
cs.CR2024★ 6 cited
Prompt Stealing Attacks Against Large Language Models
Zeyang Sha, Yang Zhang
The increasing reliance on large language models (LLMs) such as ChatGPT in various fields emphasizes the importance of ``prompt engineering,'' a technology to improve the quality o…
cs.CY2023★ 5 cited
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…
cs.CV2023★ 1 cited
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need
Ziqing Yang, Zeyang Sha, Michael Backes +1
Visual prompt learning, as a newly emerged technique, leverages the knowledge learned by a large-scale pre-trained model and adapts it to downstream tasks through the usage of prom…