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Found 5 papers, 0 papers with code
Comprehensive Assessment of Toxicity in ChatGPT
Moderating offensive, hateful, and toxic language has always been an important but challenging topic in the domain of safe use in NLP.
Mondrian: Prompt Abstraction Attack Against Large Language Models for Cheaper API Pricing
In this paper, we discover a new attack strategy against LLM APIs, namely the prompt abstraction attack.
Two-in-One: A Model Hijacking Attack Against Text Generation Models
In this work, we broaden the scope of this attack to include text generation and classification models, hence showing its broader applicability.
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots
We show that publicly available chatbots are prone to providing toxic responses when fed toxic queries.
Telling Stories through Multi-User Dialogue by Modeling Character Relations
This paper explores character-driven story continuation, in which the story emerges through characters' first- and second-person narration as well as dialogue -- requiring models to select language that is consistent with a character's persona and their relationships with other characters while following and advancing the story.
