MadryLab / backdoor_data_poisoningLinks
☆25Updated 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☆38Updated last year
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- ☆25Updated 2 years ago
- [ICLR'21] Dataset Inference for Ownership Resolution in Machine Learning☆32Updated 2 years ago
- Craft poisoned data using MetaPoison☆51Updated 4 years ago
- Detection of adversarial examples using influence functions and nearest neighbors☆36Updated 2 years ago
- ☆19Updated 3 years ago
- ☆11Updated 5 years ago
- ☆26Updated 6 years ago
- ☆31Updated 9 months ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆31Updated 4 years ago
- Codes for NeurIPS 2021 paper "Adversarial Neuron Pruning Purifies Backdoored Deep Models"☆57Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Updated 2 years ago
- Codes for reproducing the results of the paper "Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness" published at IC…☆27Updated 5 years ago
- ConvexPolytopePosioning☆35Updated 5 years ago
- Implementation of Wasserstein adversarial attacks.☆23Updated 4 years ago
- [CVPR 2022] "Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free" by Tianlong Chen*, Zhenyu Zhang*, Yihua Zhang*, Shiyu C…☆26Updated 2 years ago
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Updated 4 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 6 months ago
- Code for "Label-Consistent Backdoor Attacks"☆57Updated 4 years ago
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆20Updated 2 years ago
- Defending Against Backdoor Attacks Using Robust Covariance Estimation☆21Updated 3 years ago
- [NeurIPS 2020] code for "Boundary thickness and robustness in learning models"☆20Updated 4 years ago
- Example of the attack described in the paper "Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization"☆21Updated 5 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆13Updated 3 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)☆36Updated 4 years ago
- ☆19Updated 3 years ago
- ☆65Updated last year
- Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)☆50Updated 2 years ago