IMDEA initiative
Abstract: The remarkable advances in AI have given rise to a growing interest in AI-assisted decision support in domains ranging f...
Abstract: Privacy-Enhancing Technologies (PETs) are foundational for a future where data can be used without compromising privacy....
Abstract: Pattern matching is a fundamental feature of functional programming languages that is also being adopted by mainstream o...
Abstract: Concurrent and distributed systems are pervasive, yet verifying their correctness remains challenging. A core difficulty...
Abstract: Current frontiers in machine learning, data science, and, more broadly, artificial intelligence reveal the limits of pur...
Abstract: There is no one-size-fits-all solution to preserving privacy in artificial intelligence and data science. While insights...
Abstract: Deep learning has revolutionized computer vision, driving face biometric systems to unprecedented levels of accuracy, bu...
Abstract: Decision trees trained using greedy recursive partitioning have existed for decades in machine learning and statistics. ...
Abstract: AI systems like ChatGPT have advanced rapidly, yet their misuse has escalated in parallel. However, we still lack a syst...
