adversarial-defense 开源项目推荐（112 个）

thunlp /TAADpapers

Must-read Papers on Textual Adversarial Attack and Defense

Verified-Intelligence /auto_LiRPA

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

Hadisalman /smoothing-adversarial

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

tao-bai /attack-and-defense-methods

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

chs20 /RobustVLM

[ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

as791 /Adversarial-Example-Attack-and-Defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

nebula-beta /awesome-adversarial-deep-learning

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

microsoft /denoised-smoothing

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

huanzhang12 /CROWN-IBP

Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTorch).

davide97l /rl-policies-attacks-defenses

Adversarial attacks on Deep Reinforcement Learning (RL)

AI-secure /InfoBERT

[ICLR 2021]“InfoBERT：从信息论角度提高语言模型的鲁棒性”作者：王博欣、王硕航、宇成、甘哲、贾若曦、李波、刘婷婷

ForeverPs /Robust-Classification

CVPR 2022 Workshop Robust Classification

wunderwuzzi23 /mlattacks

Machine Learning Attack Series

lionelmessi6410 /awesome-real-world-adversarial-examples

😎 A curated list of awesome real-world adversarial examples resources

dongyp13 /Adversarial-Distributional-Training

Adversarial Distributional Training (NeurIPS 2020)

wssun /TiSE-CodeLM-Security

This repository provide the studies on the security of language models for code (CodeLMs).

sukrutrao /Adversarial-Patch-Training

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

elliothe /CVPR_2019_PNI

pytorch implementation of Parametric Noise Injection for adversarial defense

JIA-Lab-research /LBGAT

Learnable Boundary Guided Adversarial Training (ICCV2021)

cornell-zhang /GARNET

GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks