🎩 Top 5 Security and AI Reads - Week #3

Bit flip protection, RL powered spicy generation, cyber security LLM benchmark, LLM powered taint analysis and Gandalf spills his secrets

Welcome to the third installment of the Stats and Bytes Top 5 Security and AI Reads weekly newsletter. This week we are firmly in LLM land with a sprinkling of fault injection defences. We start our adventure with a paper that proposes a couple of methods to protect model parameters from fault injection. We then take a look at a very cool LLM auditing approach leveraging reinforcement learning to identify spicy prompts before then having a gander at a new cybersecurity evaluation benchmark and an LLM-powered taint analysis approach that found 10 CVEs. We then finish up with a brief trip to Middle Earth to see Gandalf. 🧙

Prompt: Gandalf flipping a bit whilst looking at a tainted curiosity benchmark

Read #1 - Exploiting neural networks bit-level redundancy to mitigate the impact of faults at inference

💾: N/A 📜: Springer 🏡: The Journal of Supercomputing

This paper is great for folks interested in inference at scale and what can be done to reduce the impact of faults (hardware or adversa…