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Algorithms for outlier, adversarial and drift detection

《深度学习与计算机视觉》配套代码

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

Stochastic Adversarial Video Prediction

Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.

Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)

Official implementation of the paper: Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers

Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

[TKDE 2024, CIKM 2022] SLA2P: Self-supervised Anomaly Detection with Adversarial Perturbation.