S5, E205 - Exploring the Privacy & Cybersecurity Risks of Large Language Models

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Prepare to have your mind expanded as we navigate the complex labyrinth of large language models and the cybersecurity threats they harbor. We dissect a groundbreaking paper that exposes how AI titans are susceptible to a slew of sophisticated cyber assaults, from prompt hacking to adversarial attacks and the less discussed but equally alarming issue of gradient exposure.
As the conversation unfolds, we unravel the unnerving potential for these intelligent systems to inadvertently spill the beans on confidential training data, a privacy nightmare that transcends academic speculation and poses tangible security threats.
Resources: https://arxiv.org/pdf/2402.00888.pdf

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Chapter

1. Security Challenges of Large Language Models (00:00:00)

2. Privacy and Security Integration Overview (00:13:03)