3 citations · 4 across the 3 of their papers we have counts for
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cs.CR2022★ 3 cited
CryptoTL: Private, Efficient and Secure Transfer Learning
Roman Walch, Samuel Sousa, Lukas Helminger +3
Big data has been a pervasive catchphrase in recent years, but dealing with data scarcity has become a crucial question for many real-world deep learning (DL) applications. A popul…
cs.CR2020★ 1 cited
Privately Connecting Mobility to Infectious Diseases via Applied Cryptography
Alexandros Bampoulidis, Alessandro Bruni, Lukas Helminger +3
Recent work has shown that cell phone mobility data has the unique potential to create accurate models for human mobility and consequently the spread of infected diseases. While pr…