This project was conducted as part of the SPAR Fall 2025 cohort. TL;DR * Chain-of-thought (CoT) monitoring may serve as a core pillar for AI safety if further advancements in AI capabilities do not significantly degrade the monitorability of LLM serial reasoning. * As such, we studied the effects of...
This work was supported by UChicago XLab. Today, we are announcing our first major release of the XLab AI Security Guide: a set of online resources and coding exercises covering canonical papers on jailbreaks, fine-tuning attacks, and proposed methods to defend AI systems from misuse. Each page on the course...
This project was conducted as part of the SPAR Fall 2025 cohort.
This work was supported by UChicago XLab.
Today, we are announcing our first major release of the XLab AI Security Guide: a set of online resources and coding exercises covering canonical papers on jailbreaks, fine-tuning attacks, and proposed methods to defend AI systems from misuse.
Each page on the course contains a readable blog-style overview of a paper and often a notebook that guides users through a small replication of the core insight the paper makes. Researchers and students can use this guide as a structured course to learn AI security step-by-step or as a reference, focusing on specific sections relevant to their research. When completed chronologically, sections build on each other and become more advanced... (read 1265 more words →)