Securing Generative AI
Join our session that revolves around securing generative AI. Experts will guide you through risk assessment, effective defense strategies, and industry best practices to enhance the robustness and data privacy of these models.
- 12:00 PM
Event Assets
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Description
In the rapidly evolving landscape of artificial intelligence, generative models have shown remarkable capabilities in various applications such as image synthesis, text generation, and creative content production. However, with great power comes great responsibility, and ensuring the security of generative AI systems is of paramount importance. This session delves into the multifaceted realm of securing generative AI. From understanding potential vulnerabilities and risks associated with these models to exploring strategies for safeguarding against adversarial attacks and data privacy breaches, attendees will gain insights into the latest advancements in securing generative AI. Experts in AI security will share real-world case studies, cutting-edge research findings, and best practices for designing, training, and deploying generative models in a secure and robust manner. Whether you're an AI practitioner, researcher, or simply curious about the intersection of AI and security, this session equips you with the knowledge needed to navigate the challenges and opportunities presented by generative AI technology.
Agenda Items
| 10:00 AM | Welcome & Opening Remarks |
| 10:20 AM | Best Practices & Frameworks for Securing Generative AI |
| Zak Rottier, Director of Enterprise Data Science at American Family Insurance |
|
| 11:10 AM | Breakout Discussions |
| 11:50 AM | Closing Remarks & Wrap Up |
| 12:00 PM | Adjourn |
Additional Information
Location: ZoomContact: Events Team, events@uwebc.wisc.edu