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ml-security

Here are 17 public repositories matching this topic...

A hybrid Solidity + Python security toolkit that analyzes ERC-20 token contracts using static pattern extraction and ML-inspired scoring. Detects mint backdoors, blacklist controls, fee manipulation, trading locks, and rugpull mechanics. Outputs interpretable risk scores, labels, and structured features for deeper analysis.

  • Updated Nov 17, 2025
  • Solidity

A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.

  • Updated Jun 9, 2025

A cross-provider AI model security scanner that evaluates HuggingFace, OpenRouter, and Ollama models for malicious content, unsafe code, license issues, and known vulnerabilities. Includes automated reports and risk scoring.

  • Updated Nov 26, 2025
  • Python

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