val-iisc / Hard-Label-Model-StealingLinks
☆30Updated 3 years ago
Alternatives and similar repositories for Hard-Label-Model-Stealing
Users that are interested in Hard-Label-Model-Stealing are comparing it to the libraries listed below
Sorting:
- Defending against Model Stealing via Verifying Embedded External Features☆36Updated 3 years ago
- The official implementation of CVPR 2021 paper "Simulating Unknown Target Models for Query-Efficient Black-box Attacks"☆58Updated 4 years ago
- ☆65Updated last year
- ☆58Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆28Updated 7 months ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆37Updated 3 years ago
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆26Updated 2 years ago
- Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses, NeurIPS Spotlight 2020☆27Updated 4 years ago
- Implementation of our ICLR 2021 paper: Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples.☆12Updated 4 years ago
- Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation (NeurIPS 2022)☆33Updated 2 years ago
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated last year
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆31Updated 3 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆57Updated last year
- Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)☆100Updated 4 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18Updated 2 years ago
- Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)☆61Updated 4 years ago
- ☆41Updated last year
- Sparse and Imperceivable Adversarial Attacks (accepted to ICCV 2019).☆40Updated 4 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆74Updated last year
- ☆22Updated 3 years ago
- Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.☆21Updated 3 years ago
- ☆19Updated 4 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- Code for our NeurIPS 2020 paper Backpropagating Linearly Improves Transferability of Adversarial Examples.☆42Updated 2 years ago
- Code for "Adversarial Attack Generation Empowered by Min-Max Optimization", NeurIPS 2021☆18Updated 3 years ago