Hamish Ivey-Law
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View article: SeDe: Balancing Blockchain Privacy and Regulatory Compliance by Selective De-Anonymization
SeDe: Balancing Blockchain Privacy and Regulatory Compliance by Selective De-Anonymization Open
Privacy is one of the essential pillars for the widespread adoption of blockchains, but public blockchains are transparent by nature. Modern analytics techniques can easily subdue the pseudonymity feature of a blockchain user. Some applica…
View article: SEALion: a Framework for Neural Network Inference on Encrypted Data
SEALion: a Framework for Neural Network Inference on Encrypted Data Open
We present SEALion: an extensible framework for privacy-preserving machine learning with homomorphic encryption. It allows one to learn deep neural networks that can be seamlessly utilized for prediction on encrypted data. The framework co…
View article: Entity Resolution and Federated Learning get a Federated Resolution
Entity Resolution and Federated Learning get a Federated Resolution Open
Consider two data providers, each maintaining records of different feature sets about common entities. They aim to learn a linear model over the whole set of features. This problem of federated learning over vertically partitioned data inc…
View article: Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption Open
Consider two data providers, each maintaining private records of different feature sets about common entities. They aim to learn a linear model jointly in a federated setting, namely, data is local and a shared model is trained from locall…