Secure Cloud Services: Matrix Multiplication Revisited

By Khaled Md. Khan, Mahboob Shaheen. 2013

12 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Wei-Ting Chang
2. Ravi Tandon
3. Aydin Sezgin
4. Jaber Kakar
5. Seyedhamed Ebadifar
6. Salim el Rouayheb

In Computer Vision and Pattern Recognition

1. Aydin Sezgin
2. Jaber Kakar
3. Ravi Tandon
4. Seyedhamed Ebadifar

Citations in the corpus

• On the Capacity of Secure Distributed Matrix Multiplication (2018, background): “Secure matrix multiplication has been studied in cryptography community, and different approaches have been proposed, including a weaker version of fully homomorphic encryption, namely partially homomorphic encryption [6]–[8].”
• Rate-Efficiency and Straggler-Robustness through Partition in Distributed Two-Sided Secure Matrix Computation (2018, methodology): “In other related works, cryptographic techniques are applied to the problem of distributed matrix multiplication in cloud computing [6], [7].”