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2020 – today
- 2024
[j4]Nir Drucker
, Guy Moshkowich, Tomer Pelleg, Hayim Shaul:
BLEACH: Cleaning Errors in Discrete Computations Over CKKS. J. Cryptol. 37(1): 3 (2024)- [j3]Eyal Kushnir, Guy Moshkowich, Hayim Shaul:
Secure Range-Searching Using Copy-And-Recurse. Proc. Priv. Enhancing Technol. 2024(3): 626-644 (2024) - 2023
- [j2]Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu:
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. 2023(1): 325-342 (2023) - [i6]Eyal Kushnir, Guy Moshkowich, Hayim Shaul:
Secure Range-Searching Using Copy-And-Recurse. IACR Cryptol. ePrint Arch. 2023: 983 (2023) - 2022
- [c5]Moran Baruch, Nir Drucker, Lev Greenberg, Guy Moshkowich:
A Methodology for Training Homomorphic Encryption Friendly Neural Networks. ACNS Workshops 2022: 536-553 - [i5]Nir Drucker, Guy Moshkowich, Tomer Pelleg, Hayim Shaul:
BLEACH: Cleaning Errors in Discrete Computations over CKKS. IACR Cryptol. ePrint Arch. 2022: 1298 (2022) - 2021
- [j1]Noam Slonim, Yonatan Bilu, Carlos Alzate, Roy Bar-Haim, Ben Bogin, Francesca Bonin, Leshem Choshen, Edo Cohen-Karlik, Lena Dankin, Lilach Edelstein, Liat Ein-Dor, Roni Friedman-Melamed, Assaf Gavron, Ariel Gera, Martin Gleize, Shai Gretz, Dan Gutfreund, Alon Halfon, Daniel Hershcovich, Ron Hoory, Yufang Hou, Shay Hummel, Michal Jacovi, Charles Jochim, Yoav Kantor, Yoav Katz, David Konopnicki, Zvi Kons, Lili Kotlerman, Dalia Krieger, Dan Lahav, Tamar Lavee, Ran Levy, Naftali Liberman, Yosi Mass, Amir Menczel, Shachar Mirkin, Guy Moshkowich, Shila Ofek-Koifman, Matan Orbach, Ella Rabinovich, Ruty Rinott, Slava Shechtman, Dafna Sheinwald, Eyal Shnarch, Ilya Shnayderman, Aya Soffer, Artem Spector, Benjamin Sznajder, Assaf Toledo, Orith Toledo-Ronen, Elad Venezian, Ranit Aharonov:
An autonomous debating system. Nat. 591(7850): 379-384 (2021) - [i4]Moran Baruch, Lev Greenberg, Guy Moshkowich:
Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. CoRR abs/2111.03362 (2021) - 2020
- [c4]Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. EMNLP (Findings) 2020: 2678-2697 - [i3]Eyal Shnarch, Leshem Choshen, Guy Moshkowich, Noam Slonim, Ranit Aharonov:
Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. CoRR abs/2010.09459 (2020)
2010 – 2019
- 2019
- [c3]Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. ACL (1) 2019: 967-976 - [c2]Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. ACL (1) 2019: 1013-1026 - [i2]Martin Gleize, Eyal Shnarch, Leshem Choshen, Lena Dankin, Guy Moshkowich, Ranit Aharonov, Noam Slonim:
Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. CoRR abs/1907.08971 (2019) - [i1]Yonatan Bilu, Ariel Gera, Daniel Hershcovich, Benjamin Sznajder, Dan Lahav, Guy Moshkowich, Anael Malet, Assaf Gavron, Noam Slonim:
Argument Invention from First Principles. CoRR abs/1908.08336 (2019) - 2018
- [c1]Shachar Mirkin, Guy Moshkowich, Matan Orbach, Lili Kotlerman, Yoav Kantor, Tamar Lavee, Michal Jacovi, Yonatan Bilu, Ranit Aharonov, Noam Slonim:
Listening Comprehension over Argumentative Content. EMNLP 2018: 719-724
Coauthor Index
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last updated on 2024-07-19 19:18 CEST by the dblp team
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