lionelmessi6410 / awesome-real-world-adversarial-examples

Related projects ⓘ

Alternatives and complementary repositories for awesome-real-world-adversarial-examples

• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆85Updated 3 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆46Updated 3 years ago
• Jianbo-Lab / HSJA
  ☆79Updated 3 years ago
• aldahdooh / detectors_review
  ☆48Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆47Updated 2 years ago
• AI-secure / QEBA
  Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack
  ☆29Updated 3 years ago
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆87Updated last year
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆36Updated last year
• Harry24k / AEPW-pytorch
  A pytorch implementation of "Adversarial Examples in the Physical World"
  ☆17Updated 5 years ago
• prabhant / synthesizing-robust-adversarial-examples
  My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-…
  ☆70Updated 6 years ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• fra31 / sparse-imperceivable-attacks
  Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).
  ☆40Updated 4 years ago
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated last year
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆50Updated 2 years ago
• hsouri / Sleeper-Agent
  ☆60Updated 9 months ago
• A-LinCui / Adversarial_Patch_Attack
  Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
  ☆55Updated 4 years ago
• YiZeng623 / frequency-backdoor
  ICCV 2021, We find most existing triggers of backdoor attacks in deep learning contain severe artifacts in the frequency domain. This Rep…
  ☆41Updated 2 years ago
• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆53Updated 5 years ago
• sukrutrao / Adversarial-Patch-Training
  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
  ☆43Updated last year
• cg563 / low-frequency-adversarial
  ☆26Updated 2 years ago
• stevetkjan / Digital2Physical
  ☆12Updated 4 years ago
• thong3le / blackbox-attack
  Blackbox attacks for deep neural network models
  ☆70Updated 6 years ago
• hanwei0912 / Adversarial-Reading
  Paper sharing in adversary related works
  ☆45Updated last month
• yuezunli / BMVC2018R-AP
  Robust Adversarial Perturbation on Deep Proposal-based Models
  ☆23Updated 2 years ago
• DreamtaleCore / Refool
  ☆43Updated 2 months ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆97Updated 3 years ago
• tongwu2020 / phattacks
  Defending Against Physically Realizable Attacks on Image Classification
  ☆33Updated 2 years ago
• Ping-C / certifiedpatchdefense
  Repository for Certified Defenses for Adversarial Patch ICLR-2020
  ☆32Updated 4 years ago
• naiyeleo / ABS
  ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation
  ☆47Updated 2 years ago