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Author

Moran Baruch

Observed name: Baruch, Moran
Institution: IBM (United States)
ORCID: 0000-0003-0615-6164
Observed ORCID: 0000-0003-0615-6164
OpenAlex ID: A5027308449
A Little Is Enough: Circumventing Defenses For Distributed Learning
2019 · Gilad Baruch, Moran Baruch, et al. · neural information processing systems · 318
A Little Is Enough: Circumventing Defenses For Distributed Learning
2019 · Baruch, Moran, Baruch, Gilad, et al. · arXiv (Cornell University) · 184
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Deceiving End-to-End Deep Learning Malware Detectors using Adversarial Examples
2018 · Kreuk, Felix, Barak, Assi, et al. · arXiv (Cornell University) · 106
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HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data
2023 · Ehud Aharoni, Allon Adir, et al. · Proceedings on Privacy Enhancing Technologies · 56
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Adversarial Examples on Discrete Sequences for Beating Whole-Binary Malware Detection.
2018 · Felix Kreuk, Assi Barak, et al. · arXiv (Cornell University) · 45
A Methodology for Training Homomorphic Encryption Friendly Neural Networks
2022 · Moran Baruch, Nir Drucker, et al. · Lecture notes in computer science · 12
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Efficient Pruning for Machine Learning Under Homomorphic Encryption
2024 · Ehud Aharoni, Moran Baruch, et al. · Lecture notes in computer science · 8
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Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption
2023 · Zimerman, Itamar, Baruch, Moran, et al. · arXiv (Cornell University) · 8
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Domain Generation Algorithm Detection Using Machine Learning Methods
2018 · Moran Baruch, Gil David · International series on intelligent systems, control and automation: science and engineering · 7
Hebrew Psychological Lexicons
2021 · Natalie Shapira, Dana Atzil-Slonim, et al. · 5
Efficient Decoding Methods for Language Models on Encrypted Data
2025 · Matan Avitan, Moran Baruch, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · 1
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Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference
2024 · Moran Baruch, Nir Drucker, et al. · Lecture notes in computer science · 1
Fighting COVID-19 in the Dark: Methodology for Improved Inference Using Homomorphically Encrypted DNN.
2021 · Moran Baruch, Lev Greenberg, et al. · arXiv (Cornell University) · 1
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption.
2020 · Ehud Aharoni, Allon Adir, et al. · arXiv (Cornell University) · 1
DGA detection using machine learning methods
2016 · Moran Baruch · Jyväskylä University Digital Archive (University of Jyväskylä) · 1
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Efficient Decoding Methods for Language Models on Encrypted Data
2025 · Association for Computational Linguistics 2025, Avitan, Matan, et al. · Underline Science Inc.
Efficient Decoding Methods for Language Models on Encrypted Data
2025 · Avitan, Matan, Baruch, Moran, et al. · arXiv (Cornell University)
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Power-Softmax: Towards Secure LLM Inference over Encrypted Data
2024 · Zimerman, Itamar, Adir, Allon, et al. · arXiv (Cornell University)
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Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption
2023 · Baruch, Moran, Drucker, Nir, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 754
H-index: 8
I10-index: 6
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