cake-lab / datafree-model-extractionLinks
CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779
☆71Updated last year
Alternatives and similar repositories for datafree-model-extraction
Users that are interested in datafree-model-extraction are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆29Updated 3 years ago
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆122Updated 3 years ago
- ☆65Updated last year
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated 11 months ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆128Updated last year
- ☆82Updated 3 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆36Updated 3 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- ☆44Updated last year
- ☆51Updated 3 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆65Updated 3 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆28Updated 4 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆31Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- A unified benchmark problem for data poisoning attacks☆156Updated last year
- ☆21Updated 4 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆33Updated 2 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆106Updated 10 months ago
- Universal Adversarial Perturbations (UAPs) for PyTorch☆48Updated 3 years ago
- [ICLR2023] Distilling Cognitive Backdoor Patterns within an Image☆36Updated 8 months ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 7 years ago
- ☆32Updated 10 months ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆168Updated last year
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- Invisible Backdoor Attack with Sample-Specific Triggers☆96Updated 2 years ago
- ☆19Updated 9 months ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- Craft poisoned data using MetaPoison☆52Updated 4 years ago