ZSHsh98

MMD-MP

This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).

EPS-AD

This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).

KMDFQ

This is the source code for Generative Data Free Model Quantization with Knowledge Matching for Classification (TCSVT2023).

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

attack-and-defense-methods

A curated list of papers of adversarial examples and defense methods.

backdoor-learning-resources

A list of backdoor learning resources

cGAN-KD

A unified cGAN-based knowledge distillation method

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

DeepInversion

Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)

Distributionally-Adversarial-Attack

AAAI-19 oral presentation

package

pytorch-cifar

95.47% on CIFAR10 with PyTorch

robust-features-code

Code for "Robustness May Be at Odds with Accuracy"

tianshou

An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.

WideResNet-pytorch

Wide Residual Networks (WideResNets) in PyTorch