🎩 Top 5 Security and AI Reads - Week #19

Language-based backdoor attacks, multi-agent security challenges, cache side-channel token extraction, hierarchical neural network verification, and ML-powered model reverse engineering

Welcome to the nineteenth instalment of the Stats and Bytes Top 5 Security and AI Reads weekly newsletter. We're kicking off with a fascinating exploration of a novel lingual backdoor attack that can compromise large language models by using an entire language as a trigger. Next, we examine an insightful overview of open challenges in multi-agent security systems, providing valuable definitions and highlighting critical research areas for securing interacting AI agents. We then have a gander at innovative research on CPU cache side-channel attacks that can extract tokens from large language models during inference, demonstrating how traditional security vulnerabilities remain relevant in the AI era. Following that, we explore advanced neural network verification techniques using hierarchical safety abstract interpretation, offering more nuanced safety assessments beyond a binary Safe or Unsafe output. We wrap up with an impressive demonstration of reverse engineering deep neural netwo…