yunyuntsai / DNN-Model-Stealing
Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)
☆20Updated 4 years ago
Alternatives and similar repositories for DNN-Model-Stealing:
Users that are interested in DNN-Model-Stealing are comparing it to the libraries listed below
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- Code for "Label-Consistent Backdoor Attacks"☆53Updated 4 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago
- Craft poisoned data using MetaPoison☆49Updated 3 years ago
- ☆64Updated 4 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆32Updated 3 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆71Updated 11 months ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆54Updated 3 months ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- ☆79Updated 3 years ago
- Defending against Model Stealing via Verifying Embedded External Features☆35Updated 3 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆33Updated 4 years ago
- ☆44Updated 4 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 6 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆50Updated 2 years ago
- ☆24Updated 2 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated 7 months ago
- Anti-Backdoor learning (NeurIPS 2021)☆82Updated last year
- Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.☆26Updated 2 years ago
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 2 years ago
- ☆65Updated last year
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated last year
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆27Updated 3 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆30Updated 4 years ago
- ☆13Updated 3 years ago
- ☆19Updated 5 months ago
- ☆19Updated 2 years ago