adversarial-defense topic

Adversarial Ranking Attack and Defense, ECCV, 2020.

cdluminate

Code for the paper "Consistency Regularization for Certified Robustness of Smoothed Classifiers" (NeurIPS 2020)

jh-jeong

💡 Adversarial attacks on explanations and how to defend them

hbaniecki

Must-read Papers on Textual Adversarial Attack and Defense

thunlp

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

tao-bai

auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs

Verified-Intelligence

Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"

Hadisalman

A list of awesome resources for adversarial attack and defense method in deep learning

nebula-beta

[ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Yu Cheng, Zhe Gan, Ruoxi Jia, Bo Li, Jingjing Liu

AI-secure

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

microsoft