MengdieHuang's repositories
AdaAD
Code for the paper Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation (CVPR 2023).
AdvCL
[NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
AdversariallyRobustDistillation
Pytorch implementation of Adversarially Robust Distillation (ARD)
auto_LiRPA
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
CVPR2023-TWINS
Official code for "TWINS: A Fine-Tuning Framework for Improved Transferability of Adversarial Robustness and Generalization", CVPR 2023
IGAM_CVPR2020
Implementation for What it Thinks is Important is Important: Robustness Transfers through Input Gradients (CVPR 2020 Oral)
Malware-GAN
Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
pre-training
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
RobustTransferLWF
Adversarially Robust Transfer Learning with LWF loss applied to the deep feature representation (penultimate) layer