Notes

Notes on the paper Planting Undetectable Backdoors in Machine Learning Models by Shafi Goldwasser, Michael P. Kim, Vinod Vaikuntanathan, and Or Zamir. This paper was recommended to me by Scott Aaronson if I wanted to better understand some earlier, more cryptographic/theoretical work in backdooring neural networks. I am also reading through Anthropic’s Sleeper Agents paper, which is more recent and practical in its approach to backdooring current LLMs, those notes will be posted soon as well....

Here are my notes for E, Li, and Vanden-Eijnden’s Applied Stochastic Analysis Chapter 5 - Stochastic Processes 5.1 - Axiomatic Construction of Stochastic Process 5.2 - Filtration and Stopping Time 5.3 - Markov Processes 5.4 - Gaussian Processes Chapter 6 - Wiener Process 6.1 - The Diffusion Limit of Random Walks 6.2 - The Invariance Principle

This is a collection of my notes for Brendan Fong and David Spivak’s An Invitation to Appied Category Theory. The first chapter was done through LaTeX, but the rest should be markdown with mathjax. Chapter 1 - Generative effects: Orders and adjunctions Chapter 2 - Resource theories: Monoidal preorders and enrichment Section 2.2 - Symmetric monoidal preorders