Alternatives and similar repositories for ML-LOO:

Users that are interested in ML-LOO are comparing it to the libraries listed below

• aldahdooh / detectors_review
  ☆50Updated 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.
  ☆53Updated 2 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago
• bymavis / CAS_ICLR2021
  ☆57Updated 2 years ago
• jpzhang1810 / NAA
  Official Tensorflow implementation for "Improving Adversarial Transferability via Neuron Attribution-based Attacks" (CVPR 2022)
  ☆34Updated last year
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated 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
• 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
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆48Updated 2 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 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
• hkunzhe / label_consistent_attacks_pytorch
  A minimal PyTorch implementation of Label-Consistent Backdoor Attacks
  ☆30Updated 4 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆37Updated 2 years ago
• Framartin / lgv-geometric-transferability
  Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"
  ☆19Updated last year
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• Line290 / FeatureAttack
  Strongest attack against Feature Scatter and Adversarial Interpolation
  ☆25Updated 5 years ago
• TransEmbedBA / TREMBA
  Code for Black-Box Adversarial Attack with Transferable Model-based Embedding
  ☆57Updated 4 years ago
• JHL-HUST / VT
  Enhancing the Transferability of Adversarial Attacks through Variance Tuning
  ☆85Updated 11 months ago
• Harry24k / CW-pytorch
  A pytorch implementation of "Towards Evaluating the Robustness of Neural Networks"
  ☆55Updated 5 years ago
• hcguoO0 / FIA
  code for "Feature Importance-aware Transferable Adversarial Attacks"
  ☆80Updated 2 years ago
• HanxunH / MDAttack
  [Machine Learning 2023] Imbalanced Gradients: A Subtle Cause of Overestimated Adversarial Robustness
  ☆17Updated 7 months ago
• inspire-group / PatchCleanser
  Code for "PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier"
  ☆37Updated last year
• prabhant / synthesizing-robust-adversarial-examples
  My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-…
  ☆72Updated 6 years ago
• JHL-HUST / SI-NI-FGSM
  ☆70Updated 3 years ago
• Jianbo-Lab / HSJA
  ☆83Updated 4 years ago
• jinyuan-jia / BadEncoder
  ☆79Updated 3 years ago
• TiJoy / Towards-Transferable-Targeted-Attack
  Codes for CVPR2020 paper "Towards Transferable Targeted Attack".
  ☆15Updated 2 years ago
• YiZeng623 / I-BAU
  Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''
  ☆54Updated 2 years ago
• HosseinHosseini / Semantic-Adversarial-Examples
  Code for generating adversarial color-shifted images
  ☆19Updated 5 years ago
• AdelaideAuto-IDLab / Februus
  Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems
  ☆27Updated 3 years ago