🎩 Top 5 Security and AI Reads - Week #2

Honeypot Neural Network Layers, Zero-day Detection, Rowhammer Deep Learning Edition, LLM Compiler Optimsation and AI phishing being the same (not better!) as human expert performance.

Welcome to the second installment of the Stats and Bytes Top 5 Security and AI Reads weekly newsletter. The reception of the first installment was awesome, and we are nearing 100 subscribers. Two folks thought it was so useful, they chose to become paid subscribers—unbelievable! There is no stopping us now.

There is something for everyone in this installment! We have honeypot techniques being applied to deep learning layers to stop model extraction attacks, an approach to spot out-of-distribution data at inference that has been used to identify zero-day (or unknown at training time) threats, and an LLM able to do compiler optimisation before finishing with a cracker that provides the first credible answer to “Are attackers going to hoop my organisation with AI-powered spear phishing?”. Let’s jump right in!

Read #1 - HoneypotNet: Backdoor Attacks Against Model Extraction

💾: N/A **📜: arxiv 🏡: Pre-Print

Screenshot of Figure 1 from the paper depicting an overview of the HoneypotNet defence…