Accelerating large garbled circuits on an FPGA-enabled cloud

M Leeser, M Gungor, K Huang… - 2019 IEEE/ACM …, 2019 - ieeexplore.ieee.org
Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

[引用][C] Accelerating Large Garbled Circuits on an FPGA-enabled Cloud

M Leeser, M Gungor, K Huang, S Ioannidis - 2019 IEEE/ACM …, 2019 - cir.nii.ac.jp
Accelerating Large Garbled Circuits on an FPGA-enabled Cloud | CiNii Research CiNii 国立
情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォームへ移動 論文・データをさがす …

[PDF][PDF] Accelerating Large Garbled Circuits on an FPGA-enabled Cloud

M Leeser, M Gungor, K Huang, S Ioannidis - h2rc.cse.sc.edu
Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

[PDF][PDF] Accelerating Large Garbled Circuits on an FPGA-enabled Cloud

M Leeser, M Gungor, K Huang, S Ioannidis - sc19.supercomputing.org
Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

Accelerating Large Garbled Circuits on an FPGA-enabled Cloud

M Leeser, M Gungor, K Huang… - 2019 IEEE/ACM …, 2019 - computer.org
Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

Accelerating Large Garbled Circuits on an FPGA-enabled Cloud

M Leeser, M Gungor, K Huang, S Ioannidis - 2019 IEEE/ACM …, 2019 - par.nsf.gov
Garbled Circuits (GC) is a technique for ensuring the privacy of inputs from users and is
particularly well suited for FPGA implementations in the cloud where data analytics is …

[PDF][PDF] Accelerating Large Garbled Circuits on an FPGA-Enabled Cloud

M Leeser - h2rc.cse.sc.edu
Problem Inputs Outputs Layers Gates 16-bit add 32 16 48 80 30-bit HD 60 30 27 330 50-bit
HD 100 50 32 550 8-bit multiply 16 8 57 472 16-bit multiply 32 16 121 1968 32-bit multiply …