Alternatives and similar repositories for targeted_UAP_CIFAR10

Users that are interested in targeted_UAP_CIFAR10 are comparing it to the libraries listed below

• thu-ml / Prior-Guided-RGF
  ☆41Updated last year
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆33Updated 4 years ago
• ctargon / AdvGAN-tf
  Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks
  ☆43Updated 6 years ago
• AI-secure / QEBA
  Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack
  ☆32Updated 4 years ago
• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆58Updated 5 years ago
• Jianbo-Lab / HSJA
  ☆85Updated 4 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆52Updated 4 years ago
• inspire-group / OOD-Attacks
  Attacks using out-of-distribution adversarial examples
  ☆12Updated 5 years ago
• nesl / adversarial_genattack
  ☆54Updated 2 years ago
• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆106Updated 10 months ago
• jhayes14 / UAN
  Universal Adversarial Networks
  ☆33Updated 6 years ago
• aldahdooh / detectors_review
  ☆51Updated 3 years ago
• greentfrapp / boundary-attack
  Implementation of the Boundary Attack algorithm as described in Brendel, Wieland, Jonas Rauber, and Matthias Bethge. "Decision-Based Adve…
  ☆98Updated 4 years ago
• giladcohen / NNIF_adv_defense
  Detection of adversarial examples using influence functions and nearest neighbors
  ☆36Updated 2 years ago
• Harry24k / catastrophic-overfitting
  Understanding Catastrophic Overfitting in Single-step Adversarial Training [AAAI 2021]
  ☆27Updated 3 years ago
• zjfheart / Friendly-Adversarial-Training
  Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
  ☆125Updated last year
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆210Updated 3 years ago
• as791 / ZOO_Attack_PyTorch
  This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/ab…
  ☆42Updated 2 years ago
• RU-System-Software-and-Security / NIC
  ☆11Updated 2 years ago
• YisenWang / MART
  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
  ☆150Updated 4 years ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 3 years ago
• oscarknagg / adversarial
  Creating and defending against adversarial examples
  ☆42Updated 6 years ago
• cmhcbb / attackbox
  ☆60Updated 3 years ago
• IBM / Autozoom-Attack
  Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…
  ☆58Updated 5 years ago
• JZ-LIANG / Ensemble-Adversarial-Training
  Pytorch code for ens_adv_train
  ☆15Updated 6 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆39Updated 4 years ago
• dongyp13 / Adversarial-Distributional-Training
  Adversarial Distributional Training (NeurIPS 2020)
  ☆63Updated 4 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆50Updated 3 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆87Updated 4 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆48Updated 3 years ago