Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Kushnir, Eyal"'
Autor:
Kadhe, Swanand Ravindra, Ludwig, Heiko, Baracaldo, Nathalie, King, Alan, Zhou, Yi, Houck, Keith, Rawat, Ambrish, Purcell, Mark, Holohan, Naoise, Takeuchi, Mikio, Kawahara, Ryo, Drucker, Nir, Shaul, Hayim, Kushnir, Eyal, Soceanu, Omri
The effective detection of evidence of financial anomalies requires collaboration among multiple entities who own a diverse set of data, such as a payment network system (PNS) and its partner banks. Trust among these financial institutions is limited
Externí odkaz:
http://arxiv.org/abs/2310.19304
One-hot maps are commonly used in the AI domain. Unsurprisingly, they can also bring great benefits to ML-based algorithms such as decision trees that run under Homomorphic Encryption (HE), specifically CKKS. Prior studies in this domain used these m
Externí odkaz:
http://arxiv.org/abs/2306.06739
Autor:
Baruch, Moran, Drucker, Nir, Ezov, Gilad, Goldberg, Yoav, Kushnir, Eyal, Lerner, Jenny, Soceanu, Omri, Zimerman, Itamar
Training large-scale CNNs that during inference can be run under Homomorphic Encryption (HE) is challenging due to the need to use only polynomial operations. This limits HE-based solutions adoption. We address this challenge and pioneer in providing
Externí odkaz:
http://arxiv.org/abs/2304.14836
Autor:
Adir, Allon, Aharoni, Ehud, Drucker, Nir, Kushnir, Eyal, Masalha, Ramy, Mirkin, Michael, Soceanu, Omri
The amount of data stored in data repositories increases every year. This makes it challenging to link records between different datasets across companies and even internally, while adhering to privacy regulations. Address or name changes, and even d
Externí odkaz:
http://arxiv.org/abs/2203.14284