Safety Assessment of Large Generative Models
Over the past two years, large generative models have made remarkable advancements, significantly influencing our daily lives. However, recent research highlights serious security and safety concerns associated with these models. In this talk, I will present some of our recent work addressing these challenges. First, I will discuss methods for detecting and attributing machine-generated content. Next, I will examine whether these models are likely to produce unsafe outputs. Finally, I will explore techniques for effectively extracting high-quality prompts from large models’ generated content.
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- Date: 24 Apr 2025
- Time: 08:00 AM UTC to 09:00 AM UTC
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