Tongzhou0101 / NNSplitterLinks
This is the official implementation of NNSplitter (ICML'23)
☆12Updated last year
Alternatives and similar repositories for NNSplitter
Users that are interested in NNSplitter are comparing it to the libraries listed below
Sorting:
- ☆18Updated last year
- Membership Inference Attacks and Defenses in Neural Network Pruning☆28Updated 3 years ago
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Updated 2 years ago
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆15Updated 3 years ago
- Official Implementation of ICML'23 "Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting".☆14Updated 2 years ago
- In the repository we provide a sample code to implement the Targeted Bit Trojan attack.☆20Updated 5 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Updated 3 years ago
- ☆31Updated 5 years ago
- [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yon…☆13Updated 3 years ago
- Changing several bit which overwhelms the quantized CNN☆45Updated 6 years ago
- ☆55Updated 2 years ago
- ☆25Updated 3 years ago
- ☆73Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- Official Repository for MocoSFL (accepted by ICLR '23, notable 5%)☆53Updated 2 years ago
- Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning [Accepted at ICML 2023]☆14Updated last year
- Pytorch implementation of Bit-Flip based adversarial weight Attack (BFA)☆33Updated 4 years ago
- [CVPRW'22] A privacy attack that exploits Adversarial Training models to compromise the privacy of Federated Learning systems.☆11Updated 3 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆26Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)☆11Updated 2 years ago
- ☆14Updated 3 years ago
- Source code for ECCV 2022 Poster: Data-free Backdoor Removal based on Channel Lipschitzness☆34Updated 3 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆12Updated 2 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Updated 2 years ago
- Federated Dynamic Sparse Training☆32Updated 3 years ago
- Implementation of the FedPM framework by the authors of the ICLR 2023 paper "Sparse Random Networks for Communication-Efficient Federated…☆29Updated 2 years ago
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆10Updated 3 years ago