3 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art
Khoi Trinh, Scott Seidenberger, Joseph Spracklen +4
The emerging field of AI-generated art has witnessed the rise of prompt marketplaces, where creators can purchase, sell, or share prompts to generate unique artworks. These marketp…
Taming Data Challenges in ML-based Security Tasks Using Generative AI
Shravya Kanchi, Neal Mangaokar, Aravind Cheruvu +4
Machine learning-based supervised classifiers are widely used for security tasks, and their improvement has been largely focused on algorithmic advancements. We argue that data cha…
Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI
Aravind Cheruvu, Shravya Kanchi, Sifat Muhammad Abdullah +4
Customizing Large Language Models (LLMs) on untrusted datasets poses severe risks of injecting toxic behaviors. In this work, we introduce Optimus, a novel defense framework design…
An Analysis of Recent Advances in Deepfake Image Detection in an Evolving Threat Landscape
Sifat Muhammad Abdullah, Aravind Cheruvu, Shravya Kanchi +4
Deepfake or synthetic images produced using deep generative models pose serious risks to online platforms. This has triggered several research efforts to accurately detect deepfake…