6 citations · 12 across the 3 of their papers we have counts for
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cs.CR2023★ 2 cited
Optimized Layerwise Approximation for Efficient Private Inference on Fully Homomorphic Encryption
Junghyun Lee, Eunsang Lee, Young-Sik Kim +4
Recent studies have explored the deployment of privacy-preserving deep neural networks utilizing homomorphic encryption (HE), especially for private inference (PI). Many works have…
cs.CR2022★ 6 cited
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
Ahmet Can Mert, Aikata, Sunmin Kwon +4
Homomorphic encryption (HE) enables computation on encrypted data, and hence it has a great potential in privacy-preserving outsourcing of computations to the cloud. Hardware accel…