Pinned Repositories
attack-and-defense-methods
A curated list of papers of adversarial examples and defense methods.
Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
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
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).
MMD-MP
This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).
ZSHsh98's Repositories
ZSHsh98/MMD-MP
This is the source code for Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy (ICLR2024).
ZSHsh98/EPS-AD
This is the source code for Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score (ICML2023).
ZSHsh98/KMDFQ
This is the source code for Generative Data Free Model Quantization with Knowledge Matching for Classification (TCSVT2023).
ZSHsh98/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
ZSHsh98/attack-and-defense-methods
A curated list of papers of adversarial examples and defense methods.
ZSHsh98/backdoor-learning-resources
A list of backdoor learning resources
ZSHsh98/cGAN-KD
A unified cGAN-based knowledge distillation method
ZSHsh98/code-of-learn-deep-learning-with-pytorch
This is code of book "Learn Deep Learning with PyTorch"
ZSHsh98/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
ZSHsh98/Distributionally-Adversarial-Attack
AAAI-19 oral presentation
ZSHsh98/package
ZSHsh98/pytorch-cifar
95.47% on CIFAR10 with PyTorch
ZSHsh98/robust-features-code
Code for "Robustness May Be at Odds with Accuracy"
ZSHsh98/tianshou
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.
ZSHsh98/WideResNet-pytorch
Wide Residual Networks (WideResNets) in PyTorch