jeiks / Stealing_DL_Models
Copycat CNN
☆27Updated 10 months ago
Alternatives and similar repositories for Stealing_DL_Models:
Users that are interested in Stealing_DL_Models are comparing it to the libraries listed below
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆29Updated 4 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆47Updated 6 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆75Updated last year
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆98Updated 6 months ago
- A unified benchmark problem for data poisoning attacks☆152Updated last year
- Code for "CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples" (NDSS 2020)☆20Updated 4 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆70Updated 10 months ago
- Implementation of Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning paper☆20Updated 4 years ago
- Implementations of data poisoning attacks against neural networks and related defenses.☆75Updated 7 months ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆50Updated 2 years ago
- WaNet - Imperceptible Warping-based Backdoor Attack (ICLR 2021)☆120Updated 3 months ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- ☆93Updated 4 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated 7 months ago
- ☆64Updated 4 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆27Updated 3 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- ☆44Updated 3 years 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
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆33Updated 4 years ago
- Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models☆125Updated 10 months ago
- ☆45Updated 5 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆123Updated last year
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆70Updated 6 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆92Updated 2 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- ☆21Updated 4 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
- Code for ML Doctor☆86Updated 6 months ago