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Cited By

Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of
Spatial Time-Series Datasets

Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets

International Conference on Extending Database Technology (EDBT), 2021

10 February 2021

Shantanu Sharma

N. Venkatasubramanian

ArXiv (abs)PDF HTML

Papers citing "Concealer: SGX-based Secure, Volume Hiding, and Verifiable Processing of Spatial Time-Series Datasets"

3 / 3 papers shown

SparseLock: Securing Neural Network Models in Deep Learning Accelerators

SparseLock: Securing Neural Network Models in Deep Learning Accelerators

Nivedita Shrivastava

290

3

0

05 Nov 2023

High Recovery with Fewer Injections: Practical Binary Volumetric
Injection Attacks against Dynamic Searchable Encryption

High Recovery with Fewer Injections: Practical Binary Volumetric Injection Attacks against Dynamic Searchable EncryptionUSENIX Security Symposium (USENIX Security), 2023

Xianglong Zhang

150

29

0

11 Feb 2023

Dissecting BFT Consensus: In Trusted Components we Trust!

Dissecting BFT Consensus: In Trusted Components we Trust!European Conference on Computer Systems (EuroSys), 2022

Mohammad Sadoghi

308

41

0

03 Feb 2022

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