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license: apache-2.0 |
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datasets: |
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- CiferAI/cifer-fraud-detection-mini-dataset |
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language: |
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- en |
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metrics: |
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- accuracy |
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--- |
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# 🧠 Cifer Fraud Detection Mini Model |
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`(cifer-fraud-detection-mini-model)` |
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## 🧾 Overview |
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This is a compact binary classifier trained to detect fraudulent transactions using the **Cifer Mini Fraud Detection Dataset**. It serves as an example model for demonstrating fully encrypted training using Fully Homomorphic Encryption (FHE). |
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The model architecture is lightweight and optimized for short training cycles, making it ideal for testing encryption workflows, verifying pipeline correctness, or onboarding new users. While not production-scale, it reflects the same privacy-first principles as larger models in the Cifer ecosystem: decentralized learning, secure computation, and zero raw data exposure. |
