The rapid growth in data collection, fueled by digitization and the rise of connected devices, is creating exciting opportunities for innovation and greater efficiency across many domains.
However, this surge in data also brings new risks, including increased vulnerability to cyberattacks and emerging privacy concerns, especially as advances in Artificial Intelligence enable the processing of vast amounts of personal data.
We are pleased to announce our latest publication, “Password-Hardened Encryption Revisited”, which will be presented at...
New paper published at ASIACRYPT'25
We are pleased to announce our latest publication, “Universally Composable and Round-Optimal Password-Hardened Encryption”,...
New Publication in the Transactions on Dependable and Secure Computing magazine
Our article “Increasing the Resilience of Secure Multiparty Computation using Security Modules” has just been published in the top journal...
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We create methods to balance processing large data sets while protecting individual privacy. Our work spans from efficient information-theoretic approaches like differential privacy to privacy-enhancing cryptographic protocols.
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We regularly publish our results at top-ranked scientific conferences and journals in the areas of privacy, security and cryptography.
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