Watermark Stealing in Large Language Models (ICML '24)

Accelerated First Order Parallel Associative Scan

Helps you build better AI agents through debuggable unit testing

A statistical test for contamination detection in language models.

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

The website for "Watermark Stealing in Large Language Models".

FARE: Provably Fair Representation Learning with Practical Certificates (ICML '23)

DSPy: The framework for programming—not prompting—language models

Discount jupyter.

A repository of Language Model Vulnerabilities and Exposures (LVEs).

A language for constraint-guided and efficient LLM programming.

Tensors, for human consumption

An awesome list of papers on privacy attacks against machine learning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

Convert Machine Learning Code Between Frameworks

Latent Space Smoothing for Individually Fair Representations (ECCV 2022)

The QMNIST dataset

A bash script that turns a version-controlled paper into a cool timelapse.

Datasets derived from US census data

Breaching privacy in federated learning scenarios for vision and text

📘 The experiment tracker for foundation model training

Intel:registered: Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption

DDlog is a programming language for incremental computation. It is well suited for writing programs that continuously update their output in response to input changes. A DDlog programmer does not w…

✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

[WACV 2021] Dynamic Plane Convolutional Occupancy Networks

A pytorch adversarial library for attack and defense methods on images and graphs

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)