Florian Tramèr
About
Florian Tramèr has authored 26 papers that have received a total of 910 indexed citations.
This includes 23 papers in Artificial Intelligence, 4 papers in Information Systems and 4 papers in Signal Processing. The topics of these papers are Adversarial Robustness in Machine Learning (16 papers), Privacy-Preserving Technologies in Data (11 papers) and Cryptography and Data Security (6 papers). Florian Tramèr is often cited by papers focused on Adversarial Robustness in Machine Learning (16 papers), Privacy-Preserving Technologies in Data (11 papers) and Cryptography and Data Security (6 papers) and collaborates with scholars based in United States, Switzerland and Germany. Florian Tramèr's co-authors include Nicholas Carlini, Dan Boneh, Matthew Jagielski, Giancarlo Pellegrino and Ari Juels and has published in prestigious journals such as Journal of the American Medical Informatics Association, IEEE Security & Privacy and Cryptography and Communications.
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