A simple and accurate method to fool deep neural networks

Official version of the PyTorch implementation of SuperDeepFool adversarial attack.

A Harder ImageNet Test Set (CVPR 2021)

Code for our paper "On the Robustness of Neural Collapse and the Neural Collapse of Robustness"

Defending Against Backdoor Attacks Using Robust Covariance Estimation

Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

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

A concise but complete implementation of CLIP with various experimental improvements from recent papers

Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。

Official implementation for AnomalyCLIP (ICLR 2024)

This is the official repository for the paper "A Unified Survey on Anomaly, Novelty, Open-Set, and Out-of-Distribution Detection: Solutions and Future Challenges".

A list of backdoor learning resources

RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

[NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models"

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Official implementation of "Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning"

LaTeX source for the paper "On Evaluating Adversarial Robustness"

Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustn…

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face D…

Code for FAB-attack

Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Exploiting Explainable Metrics for Augmented SGD [CVPR2022]