awesome-recsys-poisoning

? A compiled checklist of 300+ tips for protecting digital security and privacy in 2024

A pytorch adversarial library for attack and defense methods on images and graphs

Adversarial attacks and defenses on Graph Neural Networks.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

A certifiable defense against adversarial examples by training neural networks to be provably robust

A survey on harmful fine-tuning attack for large language model

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.

List of state of the art papers, code, and other resources

:skull: A collection of methods to fool the deep neural network :skull:

Feature Scattering Adversarial Training (NeurIPS19)