Name: Overlooked Dangers Associated with Training LLMs on Sensitive Information
Start: 2024-09-27T11:15:00-0400
End: 2024-09-27T12:00:00-0400

Friday September 27, 2024 11:15am - 12:00pm EDT

Classroom 134

Traditional cybersecurity focuses primarily on protecting data during storage and use, but with the rapid expansion of large language models (LLMs), a new threat landscape has emerged. When LLMs are trained on private and confidential data, there is a significant risk of data breaches that many are unaware of. This presentation aims to highlight the often-overlooked dangers associated with training LLMs on sensitive information. Attendees will gain a comprehensive understanding of how these breaches can occur and the potential impact they can have. More importantly, the session will provide practical training on how to detect and defend against these specific threats. By promoting awareness and equipping cybersecurity professionals with the necessary tools and strategies, we can better safeguard our data in this evolving digital age. Join us to stay ahead of the curve and ensure robust protection against the unique challenges posed by LLMs.

Speakers