Alternatives and similar repositories for UAP_retrieval:

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

• Lyn-L / PDUA
  The Project of Our ICCV Paper
  ☆10Updated 4 years ago
• BXuan694 / Universal-Adversarial-Perturbation
  This is PyTorch Implementation of Universal Adversarial Perturbation (https://arxiv.org/abs/1610.08401)
  ☆43Updated 5 years ago
• jiawangbai / DHTA-master
  The implementatin of our ECCV 2020 work: Targeted Attack for Deep Hashing based Retrieval.
  ☆28Updated 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.
  ☆54Updated 3 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆100Updated 3 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆37Updated 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
• RjDuan / AdvCam-Hide-Adv-with-Natural-Styles
  Code for "Adversarial Camouflage: Hiding Physical World Attacks with Natural Styles" (CVPR 2020)
  ☆91Updated 2 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆59Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆57Updated 2 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
• CUAI / Intermediate-Level-Attack
  [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)
  ☆78Updated 5 years ago
• qizhangli / nobox-attacks
  Code for our NeurIPS 2020 paper Practical No-box Adversarial Attacks against DNNs.
  ☆33Updated 4 years ago
• dvlab-research / LBGAT
  Learnable Boundary Guided Adversarial Training (ICCV2021)
  ☆37Updated 3 months ago
• yanhui002 / video_adv
  Tensorflow code for Sparse Adversarial Perturbations for Videos
  ☆23Updated 6 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆50Updated 2 years ago
• cg563 / low-frequency-adversarial
  ☆26Updated 2 years ago
• theFool32 / PPBA
  The project page of paper: Projection & Probability-Driven Black-Box Attack [CVPR 2020]
  ☆15Updated 4 years ago
• AI-secure / Big-but-Invisible-Adversarial-Attack
  This repo contains the code for CVPR submission "Big but Invisible Adversarial Attack"
  ☆30Updated 5 years ago
• machanic / SimulatorAttack
  The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
  ☆57Updated 3 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• walegahaha / Curls-Whey
  The implementation of 'Curls & Whey: Boosting Black-Box Adversarial Attacks' in pytorch
  ☆60Updated 5 years ago
• TransEmbedBA / TREMBA
  Code for Black-Box Adversarial Attack with Transferable Model-based Embedding
  ☆57Updated 4 years ago
• liuaishan / ModelBiasedAttack
  ☆37Updated 4 years ago
• wubaoyuan / Sparse-Adversarial-Attack
  Implementation of ECCV 2020 "Sparse Adversarial Attack via Perturbation Factorization"
  ☆28Updated 4 years ago
• Kira0096 / CGATTACK
  Official repository for CVPR 2022 paper 'Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution'
  ☆26Updated 3 years ago
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆85Updated last year
• erbloo / dr_cvpr20
  ☆25Updated 3 years ago
• gtolias / tma
  Targeted Mismatch Adversarial Attack
  ☆17Updated 5 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆82Updated 2 years ago