Search Results - "Greenberg, Lev"

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  1. 1

    Open Standards Simulation Flow for Heterogeneous System Models 1 by Broodney, Henry, Greenberg, Lev, Hirose, Shinichi, Palachi, Eldad

    Published in INCOSE International Symposium (01-10-2015)
    “…Abstract The main responsibility of the Systems Engineer is to understand the system as a whole. In modern Model‐Based approaches, powerful analytic tools are…”
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    Journal Article
  2. 2

    Using a high-level test generation expert system for testing in-car networks by Adir, Allon, Goryachev, Alex, Greenberg, Lev, Salman, Tamer

    “…The rising size and complexity of in-car networks call for more advanced and scalable verification solutions. We propose a verification methodology for in-car…”
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    Conference Proceeding
  3. 3

    System simulation from operational data by Wasicek, Armin, Lee, Edward A., Hokeun Kim, Greenberg, Lev, Iwai, Akihito, Akkaya, Ilge

    “…System simulation is a valuable tool to unveil inefficiencies and to test new strategies when implementing and revising systems. Often, simulations are…”
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    Conference Proceeding
  4. 4

    SLIP: Securing LLMs IP Using Weights Decomposition by Refael, Yehonathan, Hakim, Adam, Greenberg, Lev, Aviv, Tal, Lokam, Satya, Fishman, Ben, Seidman, Shachar

    Published 15-07-2024
    “…Large language models (LLMs) have recently seen widespread adoption, in both academia and industry. As these models grow, they become valuable intellectual…”
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    Journal Article
  5. 5

    Determinate composition of FMUs for co-simulation by Broman, David, Brooks, Christopher, Greenberg, Lev, Lee, Edward A., Masin, Michael, Tripakis, Stavros, Wetter, Michael

    “…In this paper, we explain how to achieve deterministic execution of FMUs (Functional Mockup Units) under the FMI (Functional Mockup Interface) standard. In…”
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    Conference Proceeding
  6. 6
  7. 7

    1.6.2 Generic Approach for Systems Design Optimization in MBSE1 by Broodney, Henry, Dotan, Dolev, Greenberg, Lev, Masin, Michael

    Published in INCOSE International Symposium (01-07-2012)
    “…The complexity of contemporary systems causes Systems Engineers great pains during early architectural design phases. Model‐Based Systems Engineering (MBSE)…”
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    Journal Article
  8. 8

    A methodology for training homomorphicencryption friendly neural networks by Baruch, Moran, Drucker, Nir, Greenberg, Lev, Moshkowich, Guy

    Published 07-07-2022
    “…Privacy-preserving deep neural network (DNN) inference is a necessity in different regulated industries such as healthcare, finance and retail. Recently,…”
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    Journal Article
  9. 9

    HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data by Aharoni, Ehud, Adir, Allon, Baruch, Moran, Drucker, Nir, Ezov, Gilad, Farkash, Ariel, Greenberg, Lev, Masalha, Ramy, Moshkowich, Guy, Murik, Dov, Shaul, Hayim, Soceanu, Omri

    Published 01-01-2023
    “…Privacy-preserving solutions enable companies to offload confidential data to third-party services while fulfilling their government regulations. To accomplish…”
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    Journal Article