
Federated Learning
Federated learning (FL) is an approach to machine learning where a model is trained collaboratively across multiple decentralized devices or servers, while keeping the training data localized. This decentralized method…
Hardware Assisted and Blockchain Empowered Security lab
Federated learning (FL) is an approach to machine learning where a model is trained collaboratively across multiple decentralized devices or servers, while keeping the training data localized. This decentralized method…
Software-Defined Networking (SDN) has emerged as a transformative approach to networking, offering centralized control, programmability, and automation of network infrastructure. However, with these benefits come new challenges, particularly in the…
The programmability of blockchain-based platforms offered by smart contracts has allowed the creation of new solutions that have led to the advent of Web 3.0 and decentralized applications. These solutions…
In the context of IoT systems, it is possible to perform physical bus sniffing, cold boot, cache side channel, buffer overflow, code-reuse, or Iago attacks, and various software-based countermeasures have…
In today's digital age, where personal data has become a commodity traded by corporations and governments alike, the need for a more secure and privacy-preserving identity system has never been…