SonyResearch / IDEALLinks
Query-Efficient Data-Free Learning from Black-Box Models
☆22Updated 2 years ago
Alternatives and similar repositories for IDEAL
Users that are interested in IDEAL are comparing it to the libraries listed below
Sorting:
- Official repo to reproduce the paper "How to Backdoor Diffusion Models?" published at CVPR 2023☆92Updated 3 months ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 9 months ago
- ☆52Updated 3 years ago
- [USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture☆16Updated 2 years ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆22Updated last year
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆33Updated 2 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆22Updated 3 years ago
- ☆25Updated 3 years ago
- [CVPR 2023] The official implementation of our CVPR 2023 paper "Detecting Backdoors During the Inference Stage Based on Corruption Robust…☆23Updated 2 years ago
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆39Updated 11 months ago
- This is the official implementation of our paper 'Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protecti…☆57Updated last year
- This is the code of ICLR 2022 Oral paper 'Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Au…☆29Updated last year
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆43Updated 2 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 8 months ago
- ☆58Updated 2 years ago
- Code for Backdoor Attacks Against Dataset Distillation☆35Updated 2 years ago
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆142Updated 2 years ago
- ☆24Updated last year
- ☆60Updated 2 years ago
- Github repo for One-shot Neural Backdoor Erasing via Adversarial Weight Masking (NeurIPS 2022)☆15Updated 2 years ago
- Official codes for "Understanding Deep Gradient Leakage via Inversion Influence Functions", NeurIPS 2023☆16Updated last year
- ☆65Updated last year
- [CVPR-2023] Re-thinking Model Inversion Attacks Against Deep Neural Networks☆39Updated last year
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆48Updated last year
- Data-Free Knowledge Distillation☆22Updated 3 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- Backdoor Cleansing with Unlabeled Data (CVPR 2023)☆13Updated 2 years ago