Mohamed Abdelrahman shares his journey as a PhD student in the Data Systems Group at the University of Tartu, where he focuses on Automated Machine Learning (AutoML) and aims to make AI more trustworthy and accessible. His story was introduced by Professor Jaak Vilo, Head of the Institute of Computer Science. Describe your thoughts when […]

Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

Kadi Tulver, arvutiteaduse instituudi kognitiivteaduse ja masinnägemise teadur Lugu sellest, kuidas Isaac Newton õunapuu all istudes murrangulise gravitatsiooniteooria peale tuli, on kõigile tuttav. Isegi kui mõned värvikad detailid on ilukirjanduslikult liialdatud, ilmestab see episood suurepäraselt ühte inimmõistusele unikaalset omadust – kuidas uudsed ideed mõnikord meile justkui tühja koha pealt pähe hüppavad. Püüdlustes luua tehisintellekti, mis […]

We are living in a world in which data is not just getting bigger; it is also getting more and more interconnected. Large graph analytics is a useful tool for gaining insights from large volumes of interconnected data and has applications in various fields such as social media, biology, and telecommunications. An example of the […]

Machine Translation is a quickly growing field of Natural Language Processing (NLP) that automatically translates a text from one language to another without human involvement.  In recent years, the use of machine translation systems has increased dramatically. Today machine translation is used not only by translation agencies but also by people using online machine translation […]

The cornerstone of democracy is the right for voters to participate in free and fair elections. However, securing elections is a non-trivial task due to the conflicting security requirements.  On the one hand, to provide the freedom to vote, it should not be possible to coerce voters into voting for a specific candidate. Therefore, the […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

The original article (in Estonian) by Airika Harrik was published in Novaator. Estonia has used the ID card system as a means to identify its citizens for almost 20 years. During those years, several security issues have emerged. A new PhD dissertation from the University of Tartu has shed light on those issues and pointed […]

On Friday, August 28 Janno Siim defended his PhD thesis „Non-Interactive Shuffle Arguments„ A fundamental requirement for all democratic governments is a secure voting system. In recent years some countries, like Estonia and Switzerland, have adopted internet voting (i-voting), and many more have experimented (e.g., Norway and Australia) or have plans to adopt it in […]

On the 13th of August Karim Baghery defended his PhD thesis „Reducing trust and improving security in zk-SNARKs and commitments„ in which he studied the zk-SNARKs from two different perspectives, namely reducing trust in their setup phase and improving their security in different applications. On the need for proof systems People frequently are asked to […]