val-iisc / Hard-Label-Model-Stealing

Related projects ⓘ

Alternatives and complementary repositories for Hard-Label-Model-Stealing

• Alan-Qin / Transfer_attack_RAP
  Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)
  ☆33Updated last year
• qizhangli / linbp-attack
  Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.
  ☆42Updated last year
• cleverhans-lab / dataset-inference
  [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning
  ☆31Updated 2 years ago
• bymavis / CAS_ICLR2021
  ☆55Updated 2 years ago
• zlh-thu / StealingVerification
  Defending against Model Stealing via Verifying Embedded External Features
  ☆32Updated 2 years ago
• SCLBD / Transfer_attack_RAP
  ☆32Updated last year
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• jiaxiaojunQAQ / FGSM-SDI
  Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)
  ☆29Updated last year
• goldblum / AdversariallyRobustDistillation
  Pytorch implementation of Adversarially Robust Distillation (ARD)
  ☆59Updated 5 years ago
• point0bar1 / ebm-defense
  PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM
  ☆23Updated 4 years ago
• zibojia / RSLAD
  This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"
  ☆39Updated 3 years ago
• csdongxian / skip-connections-matter
  Codes for ICLR 2020 paper "Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets"
  ☆70Updated 4 years ago
• kenny-co / sgd-uap-torch
  Universal Adversarial Perturbations (UAPs) for PyTorch
  ☆46Updated 3 years ago
• pralab / Fast-Minimum-Norm-FMN-Attack
  Foolbox implementation for NeurIPS 2021 Paper: "Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints".
  ☆25Updated 2 years ago
• VITA-Group / Backdoor-LTH
  [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…
  ☆25Updated 2 years ago
• ZhengyuZhao / Targeted-Transfer
  Simple yet effective targeted transferable attack (NeurIPS 2021)
  ☆47Updated 2 years ago
• DequanWang / dent
  Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks
  ☆37Updated 3 years ago
• Muzammal-Naseer / NRP
  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)
  ☆97Updated 3 years ago
• xherdan76 / A-Unified-Approach-to-Interpreting-and-Boosting-Adversarial-Transferability
  A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)
  ☆28Updated 2 years ago
• JHL-HUST / RLFAT
  ☆13Updated 4 years ago
• thu-ml / Prior-Guided-RGF
  ☆40Updated last year
• ShawnXYang / AT_HE
  ☆35Updated 3 years ago
• whj363636 / Self-Ensemble-Adversarial-Training
  SEAT
  ☆20Updated last year
• superrrpotato / Defending-Neural-Backdoors-via-Generative-Distribution-Modeling
  The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749
  ☆31Updated 4 years ago
• hsouri / Sleeper-Agent
  ☆60Updated 9 months ago
• zj-jayzhang / Data-Free-Transfer-Attack
  Official PyTorch implementation of "Towards Efficient Data Free Black-Box Adversarial Attack" (CVPR 2022)
  ☆15Updated 2 years ago
• cassidylaidlaw / ReColorAdv
  ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"
  ☆36Updated 2 years ago
• Muzammal-Naseer / CDA
  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)
  ☆58Updated 3 years ago
• zhuchen03 / ConvexPolytopePosioning
  ConvexPolytopePosioning
  ☆34Updated 4 years ago
• ermongroup / ODS
  Code for "Diversity can be Transferred: Output Diversification for White- and Black-box Attacks"
  ☆53Updated 4 years ago