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]

A paper list for localized adversarial patch research

TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

Related papers for robust machine learning

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

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

A Toolbox for Adversarial Robustness Research

Max Mahalanobis Training (ICML 2018 + ICLR 2020)

Code for NeurIPS 2019 Paper

Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]

PyTorch implementation of adversarial attacks [torchattacks]

Image Registration

Minimalist implementation of VQ-VAE in Pytorch