Improvements for Gate-Hiding Garbled Circuits

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On Safeguarding Privacy and Security in the Framework of Federated Learning (2019, methodology): “These generic approaches include de-identification methods like anonymization [5], obfuscation methods like differential privacy [6], cryptographic techniques like homomorphic encryption [7] and secure multi-party computation (SMC) protocols like oblivious transfer and garbled circuits [8].”
No Peek: A Survey of private distributed deep learning (2018, methodology): “…include de-identiﬁcation methods like anonymization [52], obfuscation methods like diﬀerential privacy [100,101,102] and cryptographic techniques like homomorphic encryption [19,93,96] and secure multi-party computation (MPC) protocols like oblivious transfer [84,47] and garbled circuits [41].”