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pro vyhledávání: '"Moshkowich, Guy"'
Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently, homomorphic encryption (HE) has been used as a method to enable analytics while addressing priva
Externí odkaz:
http://arxiv.org/abs/2111.03362
Autor:
Aharoni, Ehud, Adir, Allon, Baruch, Moran, Drucker, Nir, Ezov, Gilad, Farkash, Ariel, Greenberg, Lev, Masalha, Ramy, Moshkowich, Guy, Murik, Dov, Shaul, Hayim, Soceanu, Omri
Privacy-preserving solutions enable companies to offload confidential data to third-party services while fulfilling their government regulations. To accomplish this, they leverage various cryptographic techniques such as Homomorphic Encryption (HE),
Externí odkaz:
http://arxiv.org/abs/2011.01805
Approaching new data can be quite deterrent; you do not know how your categories of interest are realized in it, commonly, there is no labeled data at hand, and the performance of domain adaptation methods is unsatisfactory. Aiming to assist domain e
Externí odkaz:
http://arxiv.org/abs/2010.09459
Autor:
Bilu, Yonatan, Gera, Ariel, Hershcovich, Daniel, Sznajder, Benjamin, Lahav, Dan, Moshkowich, Guy, Malet, Anael, Gavron, Assaf, Slonim, Noam
Competitive debaters often find themselves facing a challenging task -- how to debate a topic they know very little about, with only minutes to prepare, and without access to books or the Internet? What they often do is rely on "first principles", co
Externí odkaz:
http://arxiv.org/abs/1908.08336
Autor:
Gleize, Martin, Shnarch, Eyal, Choshen, Leshem, Dankin, Lena, Moshkowich, Guy, Aharonov, Ranit, Slonim, Noam
With the advancement in argument detection, we suggest to pay more attention to the challenging task of identifying the more convincing arguments. Machines capable of responding and interacting with humans in helpful ways have become ubiquitous. We n
Externí odkaz:
http://arxiv.org/abs/1907.08971
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