MadryLab / backdoor_data_poisoningLinks
☆26Updated 6 years ago
Alternatives and similar repositories for backdoor_data_poisoning
Users that are interested in backdoor_data_poisoning are comparing it to the libraries listed below
Sorting:
- RAB: Provable Robustness Against Backdoor Attacks☆39Updated 2 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 3 years ago
- A unified benchmark problem for data poisoning attacks☆160Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- ConvexPolytopePosioning☆37Updated 5 years ago
- ☆24Updated 2 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆58Updated 2 years ago
- ☆32Updated last year
- ☆67Updated last year
- This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks…☆124Updated 3 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆110Updated last year
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆32Updated 4 years ago
- Code for "Label-Consistent Backdoor Attacks"☆58Updated 4 years ago
- CVPR 2021 Official repository for the Data-Free Model Extraction paper. https://arxiv.org/abs/2011.14779☆73Updated last year
- Fine-Pruning: Defending Against Backdooring Attacks on Deep Neural Networks (RAID 2018)☆48Updated 6 years ago
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆71Updated 7 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- ☆99Updated 5 years ago
- ☆26Updated 6 years ago
- Input-aware Dynamic Backdoor Attack (NeurIPS 2020)☆35Updated last year
- ☆84Updated 4 years ago
- Anti-Backdoor learning (NeurIPS 2021)☆84Updated 2 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- Code for the paper: Label-Only Membership Inference Attacks☆66Updated 4 years ago
- ☆48Updated 4 years ago
- A simple implementation of BadNets on MNIST☆33Updated 6 years ago
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆44Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆39Updated 6 years ago