Alternatives and similar repositories for Multiple-Adversarial_Examples_attack:

Users that are interested in Multiple-Adversarial_Examples_attack are comparing it to the libraries listed below

• JHL-HUST / SI-NI-FGSM
  ☆70Updated 3 years ago
• JHL-HUST / SVRE
  Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
  ☆24Updated 2 years ago
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆89Updated last year
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆85Updated 11 months ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆80Updated 2 years ago
• JHL-HUST / EMI
  Boosting Transferability through Enhanced Momentum
  ☆14Updated 11 months ago
• JHL-HUST / Admix
  ☆34Updated 11 months ago
• FenHua / Adversarial-Examples
  AdvAttacks; adversarial examples; FGSM;JSMA;CW;single pixel attack; local search attack;deepfool
  ☆55Updated 5 years ago
• jiaxiaojunQAQ / Adv-watermark
  Code for Adv-watermark: A novel watermark perturbation for adversarial examples (ACM MM2020)
  ☆41Updated 4 years ago
• shaguopohuaizhe / TSAA
  ☆34Updated 8 months ago
• yuezunli / BMVC2018R-AP
  Robust Adversarial Perturbation on Deep Proposal-based Models
  ☆24Updated 2 years ago
• yuyang-long / SSA
  Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples
  ☆100Updated 2 years ago
• LinQinLiang / SSAH-adversarial-attack
  Code for the paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"
  ☆55Updated last year
• stevetkjan / Digital2Physical
  ☆13Updated 4 years ago
• uhiu / StyLess
  Code for the paper "StyLess: Boosting the Transferability of Adversarial Examples" (CVPR 2023)
  ☆25Updated last year
• ylhz / tf_to_pytorch_model
  Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
  ☆84Updated 2 years ago
• Zhijin-Ge / STM
  [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.
  ☆17Updated 11 months 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 2 years ago
• qilong-zhang / Patch-wise-iterative-attack
  Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
  ☆89Updated 2 years ago
• LiangSiyuan21 / Adversarial-Attacks-for-Image-and-Video-Object-Detection
  A Implementation of IJCAI-19(Transferable Adversarial Attacks for Image and Video Object Detection)
  ☆90Updated 5 years ago
• A-LinCui / Adversarial_Patch_Attack
  Pytorch implementation of Adversarial Patch on ImageNet (arXiv: https://arxiv.org/abs/1712.09665)
  ☆57Updated 4 years ago
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 2 years ago
• JinyuTian / SID
  The code of our AAAI 2021 paper "Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-transform Domain"
  ☆14Updated 3 years ago
• huitailangyz / MGAA
  The code of ICCV2021 paper "Meta Gradient Adversarial Attack"
  ☆24Updated 3 years ago
• OwenSec / DeepDetector
  an efficient method for detecting adversarial image examples
  ☆18Updated 6 years ago
• GiorgosKarantonis / Adversarial-Attacks-with-Relativistic-AdvGAN
  Using relativism to improve GAN-based Adversarial Attacks. 🦾
  ☆41Updated last year
• Omenzychen / Deformable_Patch_Representation
  [ECCV 2022] Shape Matters: Deformable Patch Attack
  ☆20Updated 2 years ago
• CHENBIN99 / AdaEA
  The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"
  ☆37Updated last year
• qilong-zhang / Pytorch_Universal-adversarial-perturbation
  A PyTorch implementation of universal adversarial perturbation (UAP) which is more easy to understand and implement.
  ☆53Updated 2 years ago
• longtzx / object-detection-attacks
  面向目标检测的对抗样本攻击
  ☆20Updated 3 years ago