Differential privacy
Methods of safely sharing general data
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📌 Topics
- Artificial Intelligence (3)
- Data Privacy (3)
- Cybersecurity (1)
- Machine Learning (1)
- Cryptography (1)
🏷️ Keywords
Differential Privacy (2) · arXiv (2) · Text embeddings (1) · SPARSE framework (1) · Embedding inversion (1) · Differential privacy (1) · NLP security (1) · Machine learning (1) · Federated Learning (1) · Bi-level Optimization (1) · Non-IID Data (1) · Gradient Clipping (1) · Machine Learning Security (1) · FHAIM (1) · Synthetic Data Generation (1) · Fully Homomorphic Encryption (1) · Machine Learning (1) · Data Silos (1)
📖 Key Information
📰 Related News (3)
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🇺🇸 Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks
arXiv:2602.07090v1 Announce Type: cross Abstract: Text embeddings enable numerous NLP applications but face severe privacy risks from embedding inver...
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🇺🇸 An Adaptive Differentially Private Federated Learning Framework with Bi-level Optimization
arXiv:2602.06838v1 Announce Type: new Abstract: Federated learning enables collaborative model training across distributed clients while preserving d...
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🇺🇸 FHAIM: Fully Homomorphic AIM For Private Synthetic Data Generation
arXiv:2602.05838v1 Announce Type: cross Abstract: Data is the lifeblood of AI, yet much of the most valuable data remains locked in silos due to priv...
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People and organizations frequently mentioned alongside Differential privacy:
- 🌐 Machine learning (1 shared articles)
- 🌐 Word embedding (1 shared articles)