Nicholas Carlini

An adversarial example library for constructing attacks, building defenses, and benchmarking both

Claude Opus 4.6 wrote a dependency-free C compiler in Rust, with backends targeting x86 (64- and 32-bit), ARM, and RISC-V, capable of compiling a booting Linux kernel.

A simple method to perform semi-supervised learning with limited data.

A benchmark to evaluate language models on questions I've previously asked them to solve.

Robust evasion attacks against neural network to find adversarial examples