Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
Le Trieu Phong, Yoshinori Aono, Takuya Hayashi, Lihua Wang, Shiho Moriai low
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Citation edge evidence
- Federated Machine Learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
- A survey on federated learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
- Deep Leakage from Gradients→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Privacy-Preserving Deep Learning via Additively Homomorphic EncryptionLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Public-Key Cryptosystems Based on Composite Degree Residuosity ClassesLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption→Foundations of CryptographyLegacy edge — source detail unavailable
- Privacy-Preserving Deep Learning→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Deep Learning with Differential Privacy→Adaptive Subgradient Methods for Online Learning and Stochastic OptimizationLegacy edge — source detail unavailable
- SecureML: A System for Scalable Privacy-Preserving Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- SecureML: A System for Scalable Privacy-Preserving Machine Learning→Public-Key Cryptosystems Based on Composite Degree Residuosity ClassesLegacy edge — source detail unavailable
- SecureML: A System for Scalable Privacy-Preserving Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Practical Secure Aggregation for Privacy-Preserving Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Practical Secure Aggregation for Privacy-Preserving Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Machine Learning→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Federated Machine Learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Machine Learning→SecureML: A System for Scalable Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Federated Machine Learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Deep Leakage from Gradients→Federated Machine LearningLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Privacy-Preserving Deep LearningLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- Federated Learning in Mobile Edge Networks: A Comprehensive Survey→Federated Machine LearningLegacy edge — source detail unavailable
- A survey on security and privacy of federated learning→Federated Learning in Mobile Edge Networks: A Comprehensive SurveyLegacy edge — source detail unavailable
- A survey on federated learning→Deep Learning with Differential PrivacyLegacy edge — source detail unavailable
- A survey on federated learning→Practical Secure Aggregation for Privacy-Preserving Machine LearningLegacy edge — source detail unavailable
- A survey on federated learning→Federated Machine LearningLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Federated Machine Learning | 2019 | 6,228 |
| Federated Learning in Mobile Edge Networks: A Comprehensive Survey | 2020 | 2,538 |
| A survey on federated learning | 2021 | 1,847 |
| Deep Leakage from Gradients | 2020 | 1,532 |
| A survey on security and privacy of federated learning | 2020 | 1,393 |
Links
Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Cryptography and Data Security | Computer Science |
| Stochastic Gradient Optimization Techniques | Computer Science |
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