Privacy-preserving data sharing via probabilistic modeling
Jälkö, Joonas, Lagerspetz, Eemil, Haukka, Jari, Tarkoma, Sasu, Honkela, Antti, Kaski, Samuel
Published in Patterns (New York, N.Y.) (09.07.2021)
Published in Patterns (New York, N.Y.) (09.07.2021)
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Collaborative learning from distributed data with differentially private synthetic data
Prediger, Lukas, Jälkö, Joonas, Honkela, Antti, Kaski, Samuel
Published in BMC medical informatics and decision making (14.06.2024)
Published in BMC medical informatics and decision making (14.06.2024)
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Towards Efficient and Scalable Training of Differentially Private Deep Learning
Beltran, Sebastian Rodriguez, Tobaben, Marlon, Jälkö, Joonas, Loppi, Niki, Honkela, Antti
Year of Publication 25.06.2024
Year of Publication 25.06.2024
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Impact of Dataset Properties on Membership Inference Vulnerability of Deep Transfer Learning
Tobaben, Marlon, Ito, Hibiki, Jälkö, Joonas, Pradhan, Gauri, He, Yuan, Honkela, Antti
Year of Publication 07.02.2024
Year of Publication 07.02.2024
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Differentially Private Bayesian Inference for Generalized Linear Models
Kulkarni, Tejas, Jälkö, Joonas, Koskela, Antti, Kaski, Samuel, Honkela, Antti
Year of Publication 01.11.2020
Year of Publication 01.11.2020
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Privacy-Aware Document Visual Question Answering
Tito, Rubèn, Nguyen, Khanh, Tobaben, Marlon, Kerkouche, Raouf, Souibgui, Mohamed Ali, Jung, Kangsoo, Jälkö, Joonas, D'Andecy, Vincent Poulain, Joseph, Aurelie, Kang, Lei, Valveny, Ernest, Honkela, Antti, Fritz, Mario, Karatzas, Dimosthenis
Year of Publication 15.12.2023
Year of Publication 15.12.2023
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Journal Article