Pytorch implementation of backdoor unlearning.
☆21Jun 8, 2022Updated 4 years ago
Alternatives and similar repositories for Pytorch-Backdoor-Unlearning
Users that are interested in Pytorch-Backdoor-Unlearning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- BrainWash: A Poisoning Attack to Forget in Continual Learning☆12Apr 15, 2024Updated 2 years ago
- Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks☆22Aug 15, 2022Updated 3 years ago
- ☆22Mar 20, 2023Updated 3 years ago
- Reconstructive Neuron Pruning for Backdoor Defense (ICML 2023)☆40Dec 24, 2023Updated 2 years ago
- [NeurIPS'24] What makes unlearning hard and what to do about it☆22May 24, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆15Feb 26, 2025Updated last year
- Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)☆17Nov 11, 2020Updated 5 years ago
- ☆31Oct 7, 2021Updated 4 years ago
- Repository that contains the code for the paper titled, 'Unifying Distillation with Personalization in Federated Learning'.☆13May 31, 2021Updated 5 years ago
- ☆55Aug 17, 2024Updated last year
- Code related to the paper "Machine Unlearning of Features and Labels"☆71Feb 13, 2024Updated 2 years ago
- ☆11May 17, 2021Updated 5 years ago
- ☆18Jun 10, 2024Updated 2 years ago
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆13May 17, 2024Updated 2 years ago
- Official Implementation of ICLR 2022 paper, ``Adversarial Unlearning of Backdoors via Implicit Hypergradient''☆53Nov 16, 2022Updated 3 years ago
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Mar 28, 2020Updated 6 years ago
- Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks (ICLR '20)☆33Nov 4, 2020Updated 5 years ago
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- ☆18Jun 15, 2021Updated 5 years ago
- ☆28Feb 1, 2023Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆59Dec 11, 2024Updated last year
- Code for the WWW21 paper "Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy"☆12Feb 15, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated last year
- Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"☆19Dec 16, 2024Updated last year
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆24Nov 17, 2022Updated 3 years ago
- Poisoning Deep Learning based Recommender Model in Federated Learning Scenarios☆19Apr 27, 2022Updated 4 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 6 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 3 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆40Oct 3, 2023Updated 2 years ago
- Codes for Dual Stealthy Backdoor☆14Feb 10, 2024Updated 2 years ago
- [AAAI 2024] DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models☆12Dec 5, 2024Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆17Apr 22, 2026Updated 2 months ago
- ☆20Oct 28, 2025Updated 8 months ago
- ConvexPolytopePosioning☆37Jan 10, 2020Updated 6 years ago
- Byzantine-resilient distributed SGD with TensorFlow.☆40Jan 22, 2021Updated 5 years ago
- 🔥🔥🔥 Detecting hidden backdoors in Large Language Models with only black-box access☆58Jun 2, 2025Updated last year
- Code for "Neural Tangent Generalization Attacks" (ICML 2021)☆41Jul 29, 2021Updated 4 years ago
- Research prototype of deletion efficient k-means algorithms☆24Dec 19, 2019Updated 6 years ago