Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Wettlaufer, Jens"'
Publikováno v:
Proceedings of the 20th International Conference on Security and Cryptography SECRYPT (2023) 312-323
This work investigates and evaluates multiple defense strategies against property inference attacks (PIAs), a privacy attack against machine learning models. Given a trained machine learning model, PIAs aim to extract statistical properties of its un
Externí odkaz:
http://arxiv.org/abs/2205.08821
This work investigates and evaluates multiple defense strategies against property inference attacks (PIAs), a privacy attack against machine learning models. Given a trained machine learning model, PIAs aim to extract statistical properties of its un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4988e2805acfc9ed4fa193e83dc54194
Autor:
Wettlaufer, Jens
While the use of anomaly detection in network security has a long research history, it is rarely used in practice. Besides privacy concerns when applied in cross-network settings, and a more difficult attack interpretation, the major drawback consist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b6de859619cc7a5b3f4ba06b04eca19
This book contains selected papers presented at the 14th IFIP WG 9.2, 9.6/11.7, 11.6/SIG 9.2.2 International Summer School on Privacy and Identity Management, held in Windisch, Switzerland, in August 2019. The 22 full papers included in this volume w