Alternatives and similar repositories for Universal-Adversarial-Perturbations-Pytorch

Users that are interested in Universal-Adversarial-Perturbations-Pytorch are comparing it to the libraries listed below

• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆88Updated last year
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆92Updated 2 years ago
• qilong-zhang / Patch-wise-iterative-attack
  Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
  ☆92Updated 3 years ago
• qilong-zhang / Pytorch_Universal-adversarial-perturbation
  A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
  ☆56Updated 3 years ago
• JHL-HUST / SI-NI-FGSM
  ☆71Updated 4 years ago
• csdongxian / skip-connections-matter
  Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
  ☆70Updated 4 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 3 years ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆156Updated 5 years ago
• mathcbc / advGAN_pytorch
  a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
  ☆271Updated 4 years ago
• cg563 / low-frequency-adversarial
  ☆26Updated 3 years ago
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 3 years ago
• yuyang-long / SSA
  Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples
  ☆108Updated 2 years ago
• dongyp13 / Translation-Invariant-Attacks
  The translation-invariant adversarial attack method to improve the transferability of adversarial examples.
  ☆141Updated last year
• A-LinCui / Adversarial_Patch_Attack
  Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
  ☆63Updated 5 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆50Updated 3 years ago
• BXuan694 / Universal-Adversarial-Perturbation
  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
  ☆46Updated 6 years ago
• aldahdooh / detectors_review
  ☆51Updated 3 years ago
• jiaxiaojunQAQ / LAS-AT
  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)
  ☆117Updated 3 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆100Updated 4 years ago
• CUAI / Intermediate-Level-Attack
  [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
  ☆79Updated 5 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆34Updated 2 years ago
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆210Updated 3 years ago
• RjDuan / AdvDrop
  Code for "Adversarial attack by dropping information." (ICCV 2021)
  ☆75Updated 3 years ago
• qilong-zhang / Targeted_Patch-wise-plusplus_iterative_attack
  The extension of "Patch-wise Attack for Fooling Deep Neural Network (ECCV2020)", and we aim to boost the success rates of targeted attack…
  ☆28Updated 3 years ago
• thu-ml / Prior-Guided-RGF
  ☆41Updated last year
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• uhiu / StyLess
  Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)
  ☆25Updated 2 years ago