liuchen11

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

vision_transformer

deit

Official DeiT repository

llm-attacks

Universal and Transferable Attacks on Aligned Language Models

Llama-X

Open Academic Research on Improving LLaMA to SOTA LLM

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

influence-release

vision-transformers-cifar10

Let's train vision transformers (ViT) for cifar 10!

robustlearn

Robust machine learning for responsible AI

auto_LiRPA

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

alpha-beta-CROWN

alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)

AWP

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Unlearnable-Examples

[ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable

pre-training

Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)

adaptive_attacks_paper

Code for "On Adaptive Attacks to Adversarial Example Defenses"

diffeqml-research

This repository contains code released by DiffEqML Research

lipEstimation

CAS_ICLR2021

adversarial_prompting

ATTA

ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)

doro

Distributional and Outlier Robust Optimization (ICML 2021)

Excessive-Invariance

Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"

adaptive-auto-attack

Fast-Certified-Robust-Training

[NeurIPS 2021] Fast Certified Robust Training with Short Warmup

Rethinking-Clustering-for-Robustness

This is the official implementation of ClusTR: Clustering Training for Robustness paper.

normalizer-free-robust-training

Official implementation of "Removing Batch Normalization Boosts Adversarial Training" (ICML'22)

linearized-networks

Source code of "What can linearized neural networks actually say about generalization?

intermediate_robustness

smoothing-ensembles

[ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers