Alternatives and similar repositories for ACGAN_cifar10

Users that are interested in ACGAN_cifar10 are comparing it to the libraries listed below

• DingfanChen / GS-WGAN
  Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)
  ☆70Updated 3 years ago
• Carco-git / CW_Attack_on_MNIST
  Reproduction of cw attack on pytorch with corresponding MNIST model
  ☆22Updated 5 years ago
• FenHua / Adversarial-Examples
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆58Updated 6 years ago
• DingfanChen / GAN-Leaks
  Official implementation of "GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models" (CCS 2020)
  ☆47Updated 3 years ago
• AlbertMillan / adversarial-training-pytorch
  Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-…
  ☆40Updated 5 years ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆158Updated 6 years ago
• mathcbc / advGAN_pytorch
  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
  ☆276Updated 5 years ago
• as791 / Adversarial-Example-Attack-and-Defense
  This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defe…
  ☆137Updated 5 years ago
• vrt1shjwlkr / AAAI21-MIA-Defense
  Code for AAAI 2021 Paper "Membership Privacy for Machine Learning Models Through Knowledge Transfer"
  ☆11Updated 4 years ago
• PKU-ASAL / ReMoS_artifact
  ☆24Updated 3 years ago
• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆60Updated 6 years ago
• Harry24k / FGSM-pytorch
  A pytorch implementation of "Explaining and harnessing adversarial examples"
  ☆69Updated 6 years ago
• Rand2AI / GRNN
  Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"
  ☆33Updated 3 years ago
• JinkaiZheng / awesome-adversarial-attack-and-defense-papers
  ☆63Updated 4 years ago
• yz422 / UAGAN
  Training Federated GANs with Theoretical Guarantees: AUniversal Aggregation Approach
  ☆17Updated 4 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆118Updated 3 years ago
• Jaskiee / GAN-Attack-against-Federated-Deep-Learning
  The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.
  ☆63Updated 2 years ago
• bboylyg / NAD
  This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…
  ☆126Updated 3 years ago
• tribhuvanesh / prediction-poisoning
  Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
  ☆33Updated 5 years ago
• UMBCvision / Hidden-Trigger-Backdoor-Attacks
  Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"
  ☆133Updated 2 years ago
• AdrienBenamira / membership_inference_attack
  Implementation of the paper : "Membership Inference Attacks Against Machine Learning Models", Shokri et al.
  ☆60Updated 6 years ago
• MyRespect / AdversarialAttack
  The FGSM, DeepFool and CW Adversarial Attacks with TensorFlow 2.0
  ☆28Updated 2 years ago
• zhuohangli / GGL
  A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".
  ☆62Updated 3 years ago
• daixiangzi / ImprovedGan-pytorch
  Improved Techniques for Training GANs for cifar10 dataset
  ☆20Updated 2 years ago
• MadryLab / label-consistent-backdoor-code
  Code for "Label-Consistent Backdoor Attacks"
  ☆57Updated 5 years ago
• mattbev / 6.867-final-project
  Adversarial attacks and defenses against federated learning.
  ☆20Updated 2 years ago
• kchare / advex_notbugs_features
  Final Project for AM 207, Fall 2021. Review & experimentation with paper "Adversarial Examples Are Not Bugs, They Are Features"
  ☆10Updated 4 years ago
• JinyiW / GuidedDiffusionPur
  ☆60Updated 2 years ago
• anushkayadav / Denoising_cifar10
  Contains implementation of denoising algorithms.
  ☆11Updated 5 years ago
• lmunoz-gonzalez / Poisoning-Attacks-with-Back-gradient-Optimization
  Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"
  ☆21Updated 6 years ago