#Adversarial-examples
Showing 21 of 21 repositories tagged #adversarial-examples, ranked by stars
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
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 models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
A Toolbox for Adversarial Robustness Research
Raising the Cost of Malicious AI-Powered Image Editing
Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)
🗣️ Tool to generate adversarial text examples and test machine learning models against them
A curated list of awesome resources for adversarial examples in deep learning
Library containing PyTorch implementations of various adversarial attacks and resources
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
Pre-Training Buys Better Robustness and Uncertainty Estimates (ICML 2019)
This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adversarial sample crafting.
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP".
adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
Using relativism to improve GAN-based Adversarial Attacks. 🦾
adversarial malware detection via a principled way
This repository contain the tool LLMalMorph, a semi automated tool that utilize Large Language Models(LLMs) to generate malware variants from existing malware source code with prompt engineering