HanGyojin / RLB-MILinks
This is a PyTorch implementation of the paper "Reinforcement Learning-Based Black-Box Model Inversion Attacks" accepted by CVPR 2023.
☆39Updated 2 years ago
Alternatives and similar repositories for RLB-MI
Users that are interested in RLB-MI are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2021] "Class-Disentanglement and Applications in Adversarial Detection and Defense"☆46Updated 3 years ago
- ☆45Updated 2 years ago
- PyTorch implementation of BPDA+EOT attack to evaluate adversarial defense with an EBM☆25Updated 5 years ago
- ☆29Updated 4 years ago
- APBench: A Unified Availability Poisoning Attack and Defenses Benchmark (TMLR 08/2024)☆36Updated 6 months ago
- Code for "Variational Model Inversion Attacks" Wang et al., NeurIPS2021☆22Updated 3 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆144Updated 2 years ago
- [NeurIPS2021] Code Release of Learning Transferable Perturbations☆29Updated 11 months ago
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆30Updated 2 years ago
- Code for Transferable Unlearnable Examples☆22Updated 2 years ago
- ☆31Updated last year
- ☆59Updated 2 years ago
- ☆54Updated 4 years ago
- Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)☆62Updated 2 years ago
- A Unified Approach to Interpreting and Boosting Adversarial Transferability (ICLR2021)☆31Updated 3 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Official codes for GRA (Accepted by ICCV2023)☆17Updated 2 years ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆49Updated 4 years ago
- [AAAI 2023] Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network☆30Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆41Updated last year
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Updated last year
- Code for Boosting fast adversarial training with learnable adversarial initialization (TIP2022)☆29Updated 2 years ago
- ReColorAdv and other attacks from the NeurIPS 2019 paper "Functional Adversarial Attacks"☆38Updated 3 years ago
- Source of the ECCV22 paper "LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity"☆18Updated 7 months ago
- ☆37Updated last year
- Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)☆28Updated 2 years ago
- This is the official code for "Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better"☆45Updated 4 years ago
- ☆15Updated 2 years ago
- Official Code for Efficient and Effective Augmentation Strategy for Adversarial Training (NeurIPS-2022)☆16Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago