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Maria Rigaki

Maria Rigaki is a PhD student working on the intersection of machine learning and security. Before joining AIC, she spent many years in the industry, working as a software developer and systems architect. Maria has plenty of experience in designing and integrating complex systems in the areas of telecommunication and emergency response. Her interests rage from exploring the security and privacy issues in machine learning to how AI can become a tool for offensive and defensive applications in the area of security. During spare time, she enjoys playing music and participating in security CTFs.

Civilsphere Project

Civilsphere Project

The goal of Civilsphere project is to provide simple solutions for NGOs and people at risk for detecting attacks in their devices using our network behavioral Intrusion Detection and Prevention System, Stratosphere IPS.

Computational Propaganda

Computational Propaganda

Propaganda, fake news, and misinformation are not just social science topics. Our security research deals with so-called computational propaganda. In addition to politics, algorithms and automation are increasingly entering communication. Learn how they are being exploited.

Research Results

Finding Missing Persons With Responsible Algorithms

Finding Missing Persons With Responsible Algorithms

Apple AirTags and other location-tracking devices are a useful tool when it comes to locating misplaced items or even missing people. But in the hands of stalkers or criminals, these can be weaponized. How can we maintain privacy standards and guarantee fairness? Our AI algorithms offer solutions.

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