🎩 Top 5 Security and AI Reads - Week #4

Signature-based model detection that works, Microsoft's wisdom from poking AI, toxic jailbreak prevention, decompiled code comparison that makes sense, and model watermarking without retraining

Welcome to the fourth installment of the Stats and Bytes Top 5 Security and AI Reads weekly newsletter. We're kicking things off with fascinating research from HiddenLayer, who've developed a signature-based model family detection tool that's achieving remarkable levels of precision. From there, we'll dive into the lessons Microsoft's learnt from red teaming over 100 generative AI applications. We'll then move on to explore a promising jailbreak mitigation approach that could have wider AI security applications, examine awesome work on comparing neural decompiler outputs with source code, and round things off with a model watermarking technique that prevents model extraction without needing retraining.

A surreal steampunk laboratory where a DNA helix made of shadows intertwines with dripping honey code, while robot insects in red hazmat suits perform emergency neural surgery on a massive computer motherboard, dramatic lighting, ultra detailed - Claude special

Read #1 - ShadowGenes: Leve…