tribhuvanesh / prediction-poisoning
Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)
☆29Updated 4 years ago
Alternatives and similar repositories for prediction-poisoning:
Users that are interested in prediction-poisoning are comparing it to the libraries listed below
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆54Updated 2 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆64Updated 3 years ago
- Implementation of the paper "MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation".☆29Updated 3 years ago
- Code for "Label-Consistent Backdoor Attacks"☆52Updated 4 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Updated 3 years ago
- ☆19Updated 2 years ago
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆46Updated 6 years ago
- ☆20Updated 4 months ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆68Updated 9 months ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆71Updated 6 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆32Updated 4 years ago
- Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems☆27Updated 3 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- ☆32Updated 4 months ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆120Updated last year
- Anti-Backdoor learning (NeurIPS 2021)☆81Updated last year
- ☆45Updated 3 years ago
- Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks☆17Updated 5 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 5 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆53Updated 2 months ago
- Code for ML Doctor☆86Updated 5 months ago
- ABS: Scanning Neural Networks for Back-doors by Artificial Brain Stimulation☆49Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated last year
- This is the implementation for CVPR 2022 Oral paper "Better Trigger Inversion Optimization in Backdoor Scanning."☆24Updated 2 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆34Updated 5 months ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆96Updated 4 months ago
- ☆23Updated 2 years ago
- ☆45Updated 5 years ago
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆48Updated 2 years ago