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Data Privacy and Machine Learning
Data privacy is a significant concern in today’s world, with laws like the EU’s General Data Protection Regulation (GDPR) aiming to safeguard personal information. When using pre-trained models in machine learning, sharing data features with model providers can pose privacy risks.
Introducing HETAL: Privacy-Preserving Transfer Learning
A team of researchers has developed HETAL, an efficient algorithm using homomorphic encryption (HE) for privacy-preserving transfer learning. The method allows clients to encrypt data features and send them to a server for fine-tuning without compromising data privacy.
Efficiency and Effectiveness of HETAL
HETAL optimizes encrypted matrix multiplications and introduces novel algorithms that significantly reduce computational costs. Experiments on benchmark datasets showed that HETAL’s encrypted models achieved high accuracy while maintaining practical runtimes.
Practical Applications and Value
HETAL addresses a crucial challenge in privacy-preserving machine learning and represents a significant step towards practical, privacy-preserving solutions for machine learning as a service. The proposed method has the potential to benefit other applications involving neural networks and encrypted computations.
For more information, you can check out the Paper and Github.
AI Solutions for Your Company
If you want to evolve your company with AI, consider integrating HETAL for privacy-preserving transfer learning with homomorphic encryption.
Practical Steps for AI Integration
- Identify Automation Opportunities
- Define KPIs
- Select an AI Solution
- Implement Gradually
For AI KPI management advice and continuous insights into leveraging AI, connect with us at hello@itinai.com, or stay tuned on our Telegram or Twitter.
Spotlight on a Practical AI Solution
Consider the AI Sales Bot from itinai.com/aisalesbot, designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
Discover how AI can redefine your sales processes and customer engagement. Explore solutions at itinai.com.
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List of Useful Links:
- AI Lab in Telegram @aiscrumbot – free consultation
- HETAL: New Privacy-Preserving Method for Transfer Learning with Homomorphic Encryption
- MarkTechPost
- Twitter – @itinaicom
