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Opacity and its Trade-offs with Security in Linear Dynamical Systems
Opacity is notion of privacy that is well-studied in computer science and discrete-event systems. In our work, we extend the opacity notion to linear dynamical systems. Opacity describes an eavesdropper’s inability to ...
Honest Majority and Beyond: Efficient Secure Computation over Small Population
Secure Multi-Party Computation for small population has witnessed notable practically-efficient works
in the setting of both honest majority and dishonest majority. While honest majority provides the promise
of stronger ...
Practically Efficient Secure Small Party Computation over the Internet
Secure Multi-party Computation (MPC) with small population has drawn focus specifically
due to customization in techniques and resulting efficiency that the constructions can offer.
Practically efficient constructions ...
Enhancing Privacy and Efficiency of Distributed Encryption
The primary objective of a distributed system is to eliminate reliance on a central authority. In
a distributed encryption scheme, users should be able to generate their key materials independently
while securely sharing ...
Protecting Deep Learning Models on Cloud Platforms with Trusted Execution Environments
Deep learning is rapidly integrated into different applications, from medical imaging to financial products. Organisations are spending enormous financial resources to train deep learning models. Often, many organisations ...

