Universal and Transferable Attacks on Aligned Language Models

Blackbox attacks for deep neural network models

Inference code for Llama models

Versatile Verification of Tree Ensembles

Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

[TMLR 2024] Efficient Large Language Models: A Survey

A package of distributionally robust optimization (DRO) methods. Implemented via cvxpy and PyTorch

Poster of manuscript "Sinkhorn Distributionally Robust Optimization"

Unifying Distributionally Robust Optimization via Optimal Transport Theory

A Simple to implement hits counter in your static website

A python package providing a benchmark with various specified distribution shift patterns.

Collection of Summer 2025 tech internships!

Geoff Boeing's academic CV in LaTeX

A nearest neighbor density ratio estimator with model selection, written in Python 2. It uses numpy and scikit-learn.

A customizable pipeline for data extraction from MIMIC-IV.

Datasets derived from US census data

A curated list of resources for Learning with Noisy Labels

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

Code of paper "CAUSPref: Causal Preference Learning for Out-of-Distribution Recommendation" (the WebConf22)

A Pytorch Implementation of paper: "Neural Color Operators for Sequential Image Retouching", ECCV 2022