Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
☆112Aug 19, 2024Updated last year
Alternatives and similar repositories for poisoning-gradient-matching
Users that are interested in poisoning-gradient-matching are comparing it to the libraries listed below
Sorting:
- Craft poisoned data using MetaPoison☆54Apr 5, 2021Updated 4 years ago
- A unified benchmark problem for data poisoning attacks☆161Oct 4, 2023Updated 2 years ago
- ☆54Sep 11, 2021Updated 4 years ago
- Codes for the ICLR 2022 paper: Trigger Hunting with a Topological Prior for Trojan Detection☆11Sep 19, 2023Updated 2 years ago
- ☆69Feb 17, 2024Updated 2 years ago
- Implementations of data poisoning attacks against neural networks and related defenses.☆104Jul 16, 2024Updated last year
- Code Repository for the Paper ---Revisiting the Assumption of Latent Separability for Backdoor Defenses (ICLR 2023)☆47Feb 28, 2023Updated 3 years ago
- A minimal PyTorch implementation of Label-Consistent Backdoor Attacks☆29Feb 8, 2021Updated 5 years ago
- ☆26Dec 14, 2021Updated 4 years ago
- Pytorch implementation of Adversarially Robust Distillation (ARD)☆59May 24, 2019Updated 6 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Jul 11, 2023Updated 2 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- Code for "Label-Consistent Backdoor Attacks"☆57Nov 22, 2020Updated 5 years ago
- Code for the paper "Deep Partition Aggregation: Provable Defenses against General Poisoning Attacks"☆13Aug 22, 2022Updated 3 years ago
- [NeurIPS 2021] Better Safe Than Sorry: Preventing Delusive Adversaries with Adversarial Training☆32Jan 9, 2022Updated 4 years ago
- Code for the paper "Autoregressive Perturbations for Data Poisoning" (NeurIPS 2022)☆20Sep 9, 2024Updated last year
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Apr 27, 2023Updated 2 years ago
- code for model-targeted poisoning☆12Oct 3, 2023Updated 2 years ago
- [ICLR2021] Unlearnable Examples: Making Personal Data Unexploitable☆170Jul 5, 2024Updated last year
- Attacking a dog vs fish classification that uses transfer learning inceptionV3☆74Apr 12, 2018Updated 7 years ago
- competition☆17Aug 1, 2020Updated 5 years ago
- ☆19Mar 26, 2022Updated 3 years ago
- This is the official implementation of our paper 'Black-box Dataset Ownership Verification via Backdoor Watermarking'.☆26Jul 22, 2023Updated 2 years ago
- Pytorch Datasets for Easy-To-Hard☆29Jan 9, 2025Updated last year
- Pytorch ImageNet1k Loader with Bounding Boxes.☆13Jan 23, 2022Updated 4 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆65Jan 15, 2021Updated 5 years ago
- Official Repository for the AAAI-20 paper "Hidden Trigger Backdoor Attacks"☆133Oct 24, 2023Updated 2 years ago
- Code for identifying natural backdoors in existing image datasets.☆15Aug 24, 2022Updated 3 years ago
- ☆20May 6, 2022Updated 3 years ago
- ☆19Jun 21, 2021Updated 4 years ago
- This is for releasing the source code of the ACSAC paper "STRIP: A Defence Against Trojan Attacks on Deep Neural Networks"☆62Nov 12, 2024Updated last year
- ☆24Jan 27, 2022Updated 4 years ago
- Official implementation of the CVPR 2022 paper "Backdoor Attacks on Self-Supervised Learning".☆76Oct 24, 2023Updated 2 years ago
- This is the implementation of our paper 'Open-sourced Dataset Protection via Backdoor Watermarking', accepted by the NeurIPS Workshop on …☆23Oct 13, 2021Updated 4 years ago
- PyTorch implementation of our ICLR 2023 paper titled "Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?".☆12Mar 13, 2023Updated 2 years ago
- ☆13Oct 21, 2021Updated 4 years ago
- Repository for Certified Defenses for Adversarial Patch ICLR-2020☆34Sep 18, 2020Updated 5 years ago