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license: apache-2.0
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---
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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.
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