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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