Machine learning, and especially deep learning, are techniques that are truly computationally demanding. This issue becomes even more critical when...

In this talk, I will discuss our current research on Blockchain scalability using Setchain Data-type. Blockchain scalability has been a...

In this talk, I will introduce some topics from my current research on the design of cryptocurrency networks and the...

The Android ecosystem’s open-source nature allows Original Equipment Manufacturers (OEMs) to tailor the platform to their specific needs, resulting in...

Quantum Key Distribution (QKD) networks, which use the principles of Quantum Mechanics to securely distribute cryptographic keys to remote entities,...

Data is the fuel of AI systems, meant to have a profound impact on society and the economy. However, bootstrapping...

To date, most analysis of collaboration between malware authors has been performed on meta-data and compiled binaries, while ignoring artifacts...

Sentence transformers’ job is to convert pieces of text into embedded vectors, where similar (dissimilar) pieces of text have spatially...

Smartphones and mobile applications are staple tools in the operation of current-age public demonstrations, where they support organizers and participants...

Federated Learning (FL) permits different parties to collaboratively train a global model without disclosing their respective local labels. A crucial...