Browsing Computer Science and Automation (CSA) by Subject "Security"
Now showing items 1-5 of 5
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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 ... -
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 ... -
Model Extraction and Active Learning
Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ... -
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 ... -
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 ...

