Listening Comprehension over Argumentative Content. - Shachar Mirkin; Guy Moshkowich; Matan Orbach; Lili Kotlerman; Yoav Kantor; Tamar Lavee; Michal Jacovi; Yonatan Bilu; Ranit Aharonov; Noam Slonim (EMNLP, 2018)

Argument Invention from First Principles. - Yonatan Bilu; Ariel Gera; Daniel Hershcovich; Benjamin Sznajder; Dan Lahav; Guy Moshkowich; Anael Malet; Assaf Gavron; Noam Slonim (ACL (1), 2019)

Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network. - Martin Gleize; Eyal Shnarch; Leshem Choshen; Lena Dankin; Guy Moshkowich; Ranit Aharonov; Noam Slonim (ACL (1), 2019)

Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains. - Eyal Shnarch; Leshem Choshen; Guy Moshkowich; Ranit Aharonov; Noam Slonim (EMNLP (Findings), 2020)

Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN. - Moran Baruch; Lev Greenberg; Guy Moshkowich (CoRR, 2021)

An autonomous debating system. - 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; et al. (Nat., 2021)

A Methodology for Training Homomorphic Encryption Friendly Neural Networks. - Moran Baruch; Nir Drucker; Lev Greenberg; Guy Moshkowich (ACNS Workshops, 2022)

HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. - Ehud Aharoni; Allon Adir; Moran Baruch; Nir Drucker; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Guy Moshkowich; Dov Murik; Hayim Shaul; Omri Soceanu (Proc. Priv. Enhancing Technol., 2023)

Secure Range-Searching Using Copy-And-Recurse. - Eyal Kushnir; Guy Moshkowich; Hayim Shaul (Proc. Priv. Enhancing Technol., 2024)

BLEACH: Cleaning Errors in Discrete Computations Over CKKS. - Nir Drucker; Guy Moshkowich; Tomer Pelleg; Hayim Shaul (J. Cryptol., 2024)