adversarial-attacks topic

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show anoth...

sisinflab

Must-read Papers on Textual Adversarial Attack and Defense

thunlp

Implementation of Papers on Adversarial Examples

sarathknv

🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks

natanielruiz

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mo...

advboxes

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

QData

PyTorch implementation of adversarial attacks [torchattacks].

Harry24k

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

DSE-MSU

A curated list of adversarial attacks and defenses papers on graph-structured data.

safe-graph

An Open-Source Package for Textual Adversarial Attack.

thunlp