🎩 Top 5 Security and AI Reads - Week #5

Web agents transcending API boundaries, network security through foundation models, adversarial unlearning for safety benefits, backdoor'ing RL agents actions, and open problems in mech interp

Welcome to the fifth installment of the Stats and Bytes Top 5 Security and AI Reads weekly newsletter. We're starting with an API-based web agent that challenges the traditional browser-centric agents. Next, we'll examine netFound, a promising foundation model specifically designed for network security. We'll then jump into some research on machine unlearning's effectiveness, followed by a comprehensive survey of open problems in mechanistic interpretability from leading researchers in the field. Finally, we'll round things off with UNIDOOR, which demonstrates how backdoor attacks can be implemented in deep reinforcement learning systems targeting RL agent actions.

A highly detailed digital illustration of a neural network architecture being unraveled like a tapestry, with glowing backdoors hidden in its layers, hyperrealistic 4K, intricate circuit patterns, cyberpunk aesthetic, iridescent threads of code weaving through dark portals, reminiscent of Tron legacy, deep learning visualiza…