
Mohammad Anagreh: “Privacy-preserving parallel computations for graph problems”
Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph […]
Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph […]
Alguses võib IT-tööstusmagistrantuur tunduda nagu võõras asi, kuid paljud UT tudengid on selle edukalt ning õnnelikult läbinud! Järgnevalt saad lugeda […]
Kea Kohv, Master Student in Data Science An interactive tool developed by Data Science Master’s student Kea Kohv helps find […]
Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is […]
We are living in a world in which data is not just getting bigger; it is also getting more and […]
On the 13th of December Lidia Feklistova defended her PhD thesis on „Learners of an introductory programming MOOC: background variables, engagement patterns […]
Data privacy has become trending, and nowadays, people are talking more and more about it. With process mining, privacy becomes […]
On the 9th of December Jakob Mass defended his PhD thesis on „Process management for Internet of mobile things“. The […]
To explain the importance of recognising and mitigating the impact of phishing attacks, our institute organised a CyberPhish seminar on […]
On the 30th of September, Mubashar Iqbal defended his PhD. thesis on “Reference Framework for Managing Security Risks Using Blockchain” […]