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pro vyhledávání: '"Del Grosso, Ganesh"'
Autor:
Fawaz, Hassan Ismail, Del Grosso, Ganesh, Kerdoncuff, Tanguy, Boisbunon, Aurelie, Saffar, Illyyne
Unsupervised Domain Adaptation (UDA) aims to harness labeled source data to train models for unlabeled target data. Despite extensive research in domains like computer vision and natural language processing, UDA remains underexplored for time series
Externí odkaz:
http://arxiv.org/abs/2312.09857
Autor:
Del Grosso, Ganesh, Jalalzai, Hamid, Pichler, Georg, Palamidessi, Catuscia, Piantanida, Pablo
The use of personal data for training machine learning systems comes with a privacy threat and measuring the level of privacy of a model is one of the major challenges in machine learning today. Identifying training data based on a trained model is a
Externí odkaz:
http://arxiv.org/abs/2203.09566
Publikováno v:
Neurocomputing, 2023, , ISSN 0925-2312
Recently, it has been shown that Machine Learning models can leak sensitive information about their training data. This information leakage is exposed through membership and attribute inference attacks. Although many attack strategies have been propo
Externí odkaz:
http://arxiv.org/abs/2105.03875
Power consumption data is very useful as it allows to optimize power grids, detect anomalies and prevent failures, on top of being useful for diverse research purposes. However, the use of power consumption data raises significant privacy concerns, a
Externí odkaz:
http://arxiv.org/abs/2012.04475
Publikováno v:
In Neurocomputing 14 May 2023 534:1-17