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.
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.
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.
The latest white paper published by our cybersecurity research group explores the growth of IPv6 in the last years and how it impacts the field of IoT.
Jakub Mareček’s LION 19 keynote presents a framework for reasoning about repeated uses of AI systems and the new Interconnect toolkit for long-run properties therein.
In a world increasingly shaped by algorithmic decisions, ensuring that artificial intelligence (AI) systems are explainable and trustworthy has never been more urgent. Dr. John Dorsch from CETE-P argues that we've been looking at this the wrong way.
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