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Publication search results
found 36 matches
- 2024
- Yehonathan Refael, Adam Hakim, Lev Greenberg, Tal Aviv, Satya Lokam, Ben Fishman, Shachar Seidman:
SLIP: Securing LLMs IP Using Weights Decomposition. CoRR abs/2407.10886 (2024) - 2023
- 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) - David E. Breen, Andrew Senin, Ajani Levere, Joel Pepper, Jane Greenberg:
Specimen Outlining: A Computational Archival Science Approach. IEEE Big Data 2023: 2004-2009 - Wei Bai, Shanim Sainul Abdeen, Ankit Agrawal, Krishan Kumar Attre, Paramvir Bahl, Ameya Bhagat, Gowri Bhaskara, Tanya Brokhman, Lei Cao, Ahmad Cheema, Rebecca Chow, Jeff Cohen, Mahmoud Elhaddad, Vivek Ette, Igal Figlin, Daniel Firestone, Mathew George, Ilya German, Lakhmeet Ghai, Eric Green, Albert G. Greenberg, Manish Gupta, Randy Haagens, Matthew Hendel, Ridwan Howlader, Neetha John, Julia Johnstone, Tom Jolly, Greg Kramer, David Kruse, Ankit Kumar, Erica Lan, Ivan Lee, Avi Levy, Marina Lipshteyn, Xin Liu, Chen Liu, Guohan Lu, Yuemin Lu, Xiakun Lu, Vadim Makhervaks, Ulad Malashanka, David A. Maltz, Ilias Marinos, Rohan Mehta, Sharda Murthi, Anup Namdhari, Aaron Ogus, Jitendra Padhye, Madhav Pandya, Douglas Phillips, Adrian Power, Suraj Puri, Shachar Raindel, Jordan Rhee, Anthony Russo, Maneesh Sah, Ali Sheriff, Chris Sparacino, Ashutosh Srivastava, Weixiang Sun, Nick Swanson, Fuhou Tian, Lukasz Tomczyk, Vamsi Vadlamuri, Alec Wolman, Ying Xie, Joyce Yom, Lihua Yuan, Yanzhao Zhang, Brian Zill:
Empowering Azure Storage with RDMA. NSDI 2023: 49-67 - 2022
- Moran Baruch, Nir Drucker, Lev Greenberg, Guy Moshkowich:
A Methodology for Training Homomorphic Encryption Friendly Neural Networks. ACNS Workshops 2022: 536-553 - 2021
- 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
- Shlomo Greenberg, Tomer Sheps, David A. Leon, Yehuda Ben-Shimol:
Packet Classification Using GPU and One-Level Entropy-Based Hashing. IEEE Access 8: 80610-80623 (2020) - Omri Soceanu, Allon Adir, Ehud Aharoni, Lev Greenberg, Habtamu Abie:
A Cloud-Based Anomaly Detection for IoT Big Data. CPS4CIP 2020: 87-104 - Hollis J. Greenberg, Daniel S. Bogaard, C. Derrick Huang, Tim Preuss, Cara Tang:
Panel: What COVID-19 is Teaching Professors: Pandemic-Level Changes in our Classrooms. SIGITE 2020: 291-292 - Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu:
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR abs/2011.01805 (2020) - 2017
- Victoria Newton, Alexander Greenberg, Judi E. See:
Project Management Implications and Implementation Roadmap of Human Readiness Levels. HCI (23) 2017: 99-111 - Shelly Garion, Hillel Kolodner, Allon Adir, Ehud Aharoni, Lev Greenberg:
Big data analysis of cloud storage logs using spark. SYSTOR 2017: 30:1 - 2016
- Bonnie J. Dorr, Peter C. Fontana, Craig S. Greenberg, Marion Le Bras, Mark A. Przybocki:
Evaluation-driven research in data science: Leveraging cross-field methodologies. IEEE BigData 2016: 2853-2862 - 2015
- Armin Wasicek, Edward A. Lee, Hokeun Kim, Lev Greenberg, Akihito Iwai, Ilge Akkaya:
System simulation from operational data. DAC 2015: 3:1-3:6 - David Broman, Lev Greenberg, Edward A. Lee, Michael Masin, Stavros Tripakis, Michael Wetter:
Requirements for hybrid cosimulation standards. HSCC 2015: 179-188 - Yibo Zhu, Nanxi Kang, Jiaxin Cao, Albert G. Greenberg, Guohan Lu, Ratul Mahajan, David A. Maltz, Lihua Yuan, Ming Zhang, Ben Y. Zhao, Haitao Zheng:
Packet-Level Telemetry in Large Datacenter Networks. SIGCOMM 2015: 479-491 - 2014
- R. Sreekanth, J. Barry Greenberg, Y. Levy:
An approximate linearized characteristic Riemann solver based on blending of Riemann invariants. J. Comput. Phys. 278: 469-484 (2014) - Shlomo Greenberg, Joseph Rabinowicz, Ron Tsechanski, Eugene Paperno:
Selective State Retention Power Gating Based on Gate-Level Analysis. IEEE Trans. Circuits Syst. I Regul. Pap. 61-I(4): 1095-1104 (2014) - William Herlands, Ricky Der, Yoel Greenberg, Simon A. Levin:
A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification. AAAI 2014: 276-282 - Allon Adir, Alex Goryachev, Lev Greenberg, Tamer Salman:
Using a High-Level Test Generation Expert System for Testing In-Car Networks. DAC 2014: 134:1-134:6 - 2013
- David Broman, Christopher X. Brooks, Lev Greenberg, Edward A. Lee, Michael Masin, Stavros Tripakis, Michael Wetter:
Determinate composition of FMUs for co-simulation. EMSOFT 2013: 2:1-2:12 - Andreas Abel, Allon Adir, Torsten Blochwitz, Lev Greenberg, Tamer Salman:
Development and Verification of Complex Hybrid Systems Using Synthesizable Monitors. Haifa Verification Conference 2013: 182-198 - Michael Masin, Lior Limonad, Aviad Sela, David Boaz, Lev Greenberg, Nir Mashkif, Ran Rinat:
Pluggable Analysis Viewpoints for Design Space Exploration. CSER 2013: 226-235 - 2012
- Manish K. Shah, Robert T. Golla, Greg Grohoski, Paul J. Jordan, Jama Barreh, Jeffrey Brooks, Mark Greenberg, Gideon Levinsky, Mark Luttrell, Christopher Olson, Zeid Samoail, Matt Smittle, Thomas A. Ziaja:
Sparc T4: A Dynamically Threaded Server-on-a-Chip. IEEE Micro 32(2): 8-19 (2012) - Allon Adir, Alex Goryachev, Lev Greenberg, Tamer Salman, Gil Shurek:
A New Test-Generation Methodology for System-Level Verification of Production Processes. Haifa Verification Conference 2012: 178-192 - Philipp Helle, Michael Masin, Lev Greenberg:
Approximate Reliability Algebra for Architecture Optimization. SAFECOMP 2012: 279-290 - Hari Krishna Nandigam, Vishwanath Anantharaman, James Heiman, Meir Greenberg, Michael Oppenheim:
Leveraging SNOMED and ICD-9 cross mapping for semantic interoperability at a RHIO. OM 2012 - Alexander Zadorojniy, Michael Masin, Lev Greenberg, Ofer M. Shir, Lawrence Zeidner:
Algorithms for Finding Maximum Diversity of Design Variables in Multi-Objective Optimization. CSER 2012: 171-176 - 2007
- Paramvir Bahl, Ranveer Chandra, Albert G. Greenberg, Srikanth Kandula, David A. Maltz, Ming Zhang:
Towards highly reliable enterprise network services via inference of multi-level dependencies. SIGCOMM 2007: 13-24 - 2004
- Shlomo Greenberg, Ido Bloch, Moti Horwitz, Avishay Maman:
Optimization of chip level clock tree performance by using simultaneous drivers and wire sizing. ICECS 2004: 419-423
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