Private Inference on Transformer
☆30Jun 13, 2023Updated 3 years ago
Alternatives and similar repositories for Iron
Users that are interested in Iron are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing☆20Nov 8, 2022Updated 3 years ago
- (ICLR 2023 Spotlight) MPCFormer: fast, performant, and private transformer inference with MPC☆101Jun 12, 2023Updated 3 years ago
- ☆16May 22, 2023Updated 3 years ago
- [NeurIPS'24] Official implement of "PrivCirNet: Efficient Private Inference via Block Circulant Transformation"☆15Feb 26, 2026Updated 4 months ago
- ☆215Feb 25, 2025Updated last year
- 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.
- Implementation of Distributed function secret sharing and applications☆17Jun 17, 2026Updated 3 weeks ago
- Implementation for the protocols described in https://eprint.iacr.org/2023/1700☆14Apr 29, 2026Updated 2 months ago
- Code repository for the paper at USENIX Security'24☆37Aug 11, 2024Updated last year
- Piranha: A GPU Platform for Secure Computation☆106Apr 2, 2023Updated 3 years ago
- Secure Computation Utilities☆19Mar 5, 2026Updated 4 months ago
- Implementation of protocols in the paper titled "Scalable Multi-Party Computation Protocols for Machine Learning in the Honest-Majority S…☆36Feb 15, 2025Updated last year
- Privacy-Preserving, Accurate and Efficient Inference for Transformers☆37Updated this week
- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆12Mar 13, 2024Updated 2 years ago
- ☆449Apr 28, 2026Updated 2 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code release for MPCViT accepted by ICCV 2023☆16Jan 6, 2025Updated last year
- Low-Interaction Privacy-Preserving Deep Learning via Function Secret Sharing☆52Jul 14, 2021Updated 4 years ago
- Official implementation of the USENIX Security 2024 paper ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.☆25Dec 6, 2023Updated 2 years ago
- A framework for generic hybrid two-party computation and private inference with neural networks☆32Feb 26, 2023Updated 3 years ago
- Maintain a list of open source libraries of cryptographic excellence☆63Nov 21, 2025Updated 7 months ago
- Implementation of protocols in Falcon☆94Jul 30, 2024Updated last year
- ☆25Jul 16, 2022Updated 3 years ago
- ☆27Apr 15, 2024Updated 2 years ago
- A framework for secure, handy, accurate, and fast transformer inference☆29Aug 29, 2025Updated 10 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- NFGen: Automatic Non-Linear Function Evaluation Code Generator for General-purpose MPC Platforms☆20Dec 24, 2025Updated 6 months ago
- Shamir Secret Sharing☆21Nov 27, 2019Updated 6 years ago
- Fast Privacy-Preserving Machine Learning on the GPU☆93Jun 17, 2021Updated 5 years ago
- FudanMPL 2.0, a series of multi-party learning frameworks, with rich features, including secure and fast XGBoost, secure Fine-tuning for …☆60May 3, 2026Updated 2 months ago
- FLUTE: Fast and Secure Lookup Table Evaluations☆28Apr 15, 2024Updated 2 years ago
- Function secret sharing (FSS) primitives including distributed point/comparison function (DPF/DCF)☆32Jun 12, 2026Updated 3 weeks ago
- SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keepin…☆325Jun 29, 2026Updated last week
- Implementation of deep ResNet model on CKKS scheme in Microsoft SEAL library using multiplexed parallel convolution☆102Jul 27, 2022Updated 3 years ago
- 该项目实现了隐私保护和可验证的卷积神经网络（CNN）测试，旨在使模型开发者能够在多个测试者提供的非公开数据上向用户证明CNN性能的真实性，同时保护模型和数据的隐私。☆17Oct 23, 2023Updated 2 years ago
- 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.
- Paper Notes in MPC with Applications to PPML☆71Mar 22, 2024Updated 2 years ago
- dblp Knowledge Graph☆15Jan 16, 2025Updated last year
- Official repo of the paper Deep Regression Unlearning accepted in ICML 2023☆16Jun 14, 2023Updated 3 years ago
- ☆26Sep 6, 2020Updated 5 years ago
- Privacy preserving vertical federated learning for tree-based models☆30Nov 11, 2021Updated 4 years ago
- Materials about Privacy-Preserving Machine Learning☆264Feb 2, 2026Updated 5 months ago
- Official implementation for AutoFHE: Automated Adaption of CNNs for Efficient Evaluation over FHE. The paper is presented at the 33rd USE…☆34Nov 24, 2025Updated 7 months ago