Alternatives and similar repositories for adv-attack

Users that are interested in adv-attack are comparing it to the libraries listed below

• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 3 years ago
• csdongxian / skip-connections-matter
  Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
  ☆71Updated 4 years ago
• huitailangyz / MGAA
  The code of ICCV2021 paper "Meta Gradient Adversarial Attack"
  ☆24Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 2 years ago
• cg563 / low-frequency-adversarial
  ☆26Updated 2 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 2 years ago
• yihuang2016 / TAIG
  ☆22Updated 2 years ago
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆87Updated 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
• JinyuTian / SID
  The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"
  ☆16Updated 4 years ago
• BXuan694 / Universal-Adversarial-Perturbation
  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
  ☆43Updated 6 years ago
• Sizhe-Chen / DAmageNet
  A Universal Adversarial Dataset
  ☆33Updated 4 years ago
• phibenz / uap_virtual_data.pytorch
  ☆28Updated 4 years ago
• zhipeng-wei / PNA-PatchOut
  ☆35Updated 11 months ago
• zj-jayzhang / Data-Free-Transfer-Attack
  Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)
  ☆18Updated 2 years ago
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 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 / Admix
  ☆35Updated last year
• Harry24k / RFGSM-pytorch
  A pytorch implementation of "Ensemble Adversarial Training : Attacks and Defenses"
  ☆9Updated 5 years ago
• qilong-zhang / CVPR2021-Competition-Unrestricted-Adversarial-Attacks-on-ImageNet
  Our Team (green hand) 6th Solution for CVPR-2021 AIC-VI: Unrestricted Adversarial Attacks on ImageNet
  ☆26Updated 3 years ago
• jiaxiaojunQAQ / FGSM-PGI
  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)
  ☆26Updated 2 years ago
• qilong-zhang / Patch-wise-iterative-attack
  Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
  ☆90Updated 3 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆51Updated 2 years ago
• JHL-HUST / SI-NI-FGSM
  ☆70Updated 4 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…
  ☆27Updated 3 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆100Updated 4 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆61Updated 3 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 2 years ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆18Updated 2 months ago
• JHL-HUST / EMI
  Boosting Transferability through Enhanced Momentum
  ☆14Updated last year