Alternatives and similar repositories for AISafety

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

• DIG-Beihang / RobustART
  The first comprehensive Robustness investigation benchmark on large-scale dataset ImageNet regarding ARchitecture design and Training tec…
  ☆151Updated 3 years ago
• ylhz / Adversarial_Attacks_and_Defense_NeurIPS2022
  A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.
  ☆75Updated 3 years ago
• zhoumingyi / DaST
  A novel data-free model stealing method based on GAN
  ☆133Updated 3 years ago
• FenHua / DetDak
  Patch adversarial attack; object detection; CIKM2020 安全AI挑战者计划第四期：通用目标检测的对抗攻击
  ☆44Updated 4 years ago
• Harry24k / PGD-pytorch
  A pytorch implementation of "Towards Deep Learning Models Resistant to Adversarial Attacks"
  ☆159Updated 6 years ago
• liuye6666 / EWR-PGD
  white box adversarial attack
  ☆38Updated 5 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)
  ☆88Updated 6 years ago
• machanic / SimulatorAttack
  The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"
  ☆59Updated 4 years ago
• vtddggg / CAA
  The implementation of our paper: Composite Adversarial Attacks (AAAI2021)
  ☆30Updated 3 years ago
• liuye6666 / adaptive_auto_attack
  Adversarial Robustness, White-box, Adversarial Attack
  ☆52Updated 3 years ago
• Yanxing-Shi / Awesome-CV-Adversarial-Attack-List
  This repository is a curated list of papers and open source code about competition for CV Adversarial Attack.
  ☆27Updated 3 years ago
• JinkaiZheng / awesome-adversarial-attack-and-defense-papers
  ☆63Updated 4 years ago
• qilong-zhang / Patch-wise-iterative-attack
  Patch-wise iterative attack (accepted by ECCV 2020) to improve the transferability of adversarial examples.
  ☆94Updated 3 years ago
• bymavis / CAS_ICLR2021
  ☆58Updated 3 years ago
• datong-new / CPIAD
  Grid Patch Attack for Object Detection
  ☆43Updated 3 years ago
• grispeut / Feature-Alignment
  object detection, adversarial robustness, ICIP2021
  ☆17Updated 5 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 5 years ago
• hanwei0912 / Adversarial-Reading
  Paper sharing in adversary related works
  ☆45Updated 5 months ago
• thu-ml / Prior-Guided-RGF
  ☆42Updated 2 years ago
• jinyuan-jia / BadEncoder
  ☆83Updated 4 years ago
• veralauee / DPatch
  An adversarial attack on object detectors
  ☆149Updated 4 years ago
• sukrutrao / Adversarial-Patch-Training
  Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.
  ☆47Updated 2 years ago
• tanjuntao / Adversarial-Machine-Learning
  对抗样本（Adversarial Examples）和投毒攻击（Poisoning Attacks）相关资料
  ☆116Updated 6 years ago
• thu-ml / ares
  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
  ☆524Updated 2 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆35Updated 2 years ago
• csdongxian / skip-connections-matter
  Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
  ☆70Updated 5 years ago
• guidao20 / OPPO_ADVERSARIAL_ATTACK
  ☆43Updated 4 years ago
• TransEmbedBA / TREMBA
  Code for Black-Box Adversarial Attack with Transferable Model-based Embedding
  ☆58Updated 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-…
  ☆73Updated 7 years ago
• NeuralSec / Daedalus-attack
  The code of our paper: 'Daedalus: Breaking Non-Maximum Suppression in Object Detection via Adversarial Examples', in Tensorflow.
  ☆51Updated 8 months ago