68 Open source projects that are alternatives of or similar to robust-local-lipschitz

Adversarial Ranking Attack and Defense, ECCV, 2020.

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Paper list of Adversarial Examples

Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

Adversarial Attacks on Deep Neural Networks for Time Series Classification