Jean-Sébastien Coron, Associate Professor in cryptography at the University of Luxembourg, has been awarded the prestigious “Advanced Grant” by the European Research Council (ERC). Funded by the European programme Horizon 2020, Jean-Sébastien Coron and his team will receive up to € 2.5 million over a period of five years to conduct research in cryptography at the University’s Interdisciplinary Centre for Security, Reliability and Trust (SnT).
The ERC Advanced Grant is the most prestigious individual research grant in Europe and already the third to be awarded to a SnT affiliated researcher.
Emergence of new encryption tools
During the past thirty years, cryptography has become more and more common in all areas of life, from the Internet to voting or banking systems. Two promising techniques have recently emerged to reinforce the privacy and security of citizens and organisations. On the one hand, homomorphic cryptography is a mathematical tool which enables work on encrypted data without decrypting it. For instance, companies could encrypt their cloud-hosted databases and operate on them without converting records back to plaintext. On the other hand, cryptographic multilinear maps have revolutionised the domain with the emergence of indistinguishability obfuscation (iO), a cutting-edge method that conceals a programme’s code but preserves its functionality.
“Despite these advances, the security of multilinear maps is still poorly understood and many iO schemes have been broken. Moreover, all constructions of iO are currently impractical: obfuscating a program adds huge delays, effectively slowing down running times,” observes Professor Jean-Sébastien Coron.
As leader of the Applied Crypto Group (ACG) at the Computer Science and Communications (CSC) research unit of the Faculty of Science, Technology and Communication, Prof Coron will therefore investigate combining these two methods to find the best solution.
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Professor Tegawendé F. Bissyandé from the University of Luxembourg’s Interdisciplinary Centre for Security, Reliability and Trust (SnT) has been awarded the prestigious Starting Grant by the European Research Council (ERC) for his project NATURAL. Prof. Bissyandé will receive 1.5 million Euros to conduct research in software repair for five years. His project will explore how language processing can be combined with other advanced machine learning technologies to create an artificial intelligence (AI) bot that will debug software automatically.
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