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ORCIDMaor Ashkenazi
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2020 – today
- 2026
[c6]Edward Raff, Maor Ashkenazi, Sagar Samtani, David J. Elkind, Sven Krasser:
Cybersecurity is the True Frontier for Generative AI Success or Failure. EuroS&P (Workshops) 2026: 242-252- [i9]Talor Abramovich, Maor Ashkenazi, Carl Putterman, Benjamin Chislett, Tiyasa Mitra, Bita Darvish Rouhani, Ran Zilberstein, Yonatan Geifman:
SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding. CoRR abs/2604.09557 (2026) - [i8]Hayate Iso, Tiyasa Mitra, Sudipta Mondal, Rasoul Shafipour, Venmugil Elango, Terry Kong, Yuki Huang, Seonjin Na, Izzy Putterman, Benjamin Chislett, Maor Ashkenazi, Joseph Guman, Gerald Shen, Tugrul Konuk, Ashwath Aithal, Ritika Borkar, Ran Zilberstein, Bita Rouhani:
Accelerating RL Post-Training Rollouts via System-Integrated Speculative Decoding. CoRR abs/2604.26779 (2026) - [i7]Edward Raff, Maor Ashkenazi, Sagar Samtani, David J. Elkind, Sven Krasser:
Cybersecurity is the True Frontier for Generative AI Success or Failure. CoRR abs/2606.28929 (2026) - [i6]Akhiad Bercovich, Talor Abramovich, Daniel Afrimi, Shay Aharon, Nir Ailon, Vladimir Anisimov, Omer Ullman Argov, Maor Ashkenazi, Tomer Asida, Nave Assaf, Tomer Bar Natan, Alexander Bukharin, Grzegorz Chlebus, Marcin Chochowski, Eric Chung, Mohammad Dabbah, Carlo del Mundo, Ewa Dobrowolska, Ido Galil, Yaniv Galron, Amnon Geifman, Yonatan Geifman, Izik Golan, Alex Gronskiy, Tomasz Grzegorzek, Netanel Haber, Lior Kadoch, Grzegorz Karch, Tomer Keren, Abhinav Khattar, Amir Klein, Tugrul Konuk, Roi Koren, Daniel Korzekwa, Shaun Kotek, Konstantinos Krommydas, Itay Levy, Ofri Masad, Yoav Miron, Pavlo Molchanov, Shahar Mor, Zach Moshe, Saurav Muralidharan, Najeeb Nabwani, Besmira Nushi, Mostofa Patwary, Omri Puny, Johannes Rausch, Tomer Ronen, Sepehr Sameni, Itamar Schen, Elad Segal, Daniel Serebrenik, Ido Shahaf, Soumye Singhal, Daniil Sorokin, Sharath Turuvekere Sreenivas, Marta M. Stepniewska-Dziubinska, Ali Taghibakhshi, Nima Tajbakhsh, Oren Tropp, Dor Tzur, Anna Warno, Yi-Fu Wu, Michal Zawalski, Jiaqi Zeng, Yian Zhang, Ran Zilberstein, Amit Zuker, Ran El-Yaniv:
Nemotron-Labs-3-Puzzle-75B-A9B: Compressing Hybrid MoE LLMs. CoRR abs/2607.04371 (2026) - 2025
- [c5]Maor Ashkenazi, Ofir Brenner, Tal Furman Shohet, Eran Treister:
Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning. ECML/PKDD (4) 2025: 187-204 - [i5]Ilan Schvartzman, Roei Sarussi, Maor Ashkenazi, Ido kringel, Yaniv Tocker, Tal Furman Shohet:
A New Dataset and Methodology for Malicious URL Classification. CoRR abs/2501.00356 (2025) - [i4]Maor Ashkenazi, Ofir Brenner, Tal Furman Shohet, Eran Treister:
Zero-Shot Detection of LLM-Generated Code via Approximated Task Conditioning. CoRR abs/2506.06069 (2025) - 2024
- [c4]Maor Ashkenazi, Eran Treister:
Towards Croppable Implicit Neural Representations. NeurIPS 2024 - [i3]Maor Ashkenazi, Eran Treister:
Towards Croppable Implicit Neural Representations. CoRR abs/2409.19472 (2024) - 2023
- [c3]Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister:
NeRN: Learning Neural Representations for Neural Networks. ICLR 2023 - 2022
- [c2]Shahaf E. Finder, Yair Zohav, Maor Ashkenazi, Eran Treister:
Wavelet Feature Maps Compression for Image-to-Image CNNs. NeurIPS 2022 - [i2]Shahaf E. Finder, Yair Zohav, Maor Ashkenazi
, Eran Treister:
Wavelet Feature Maps Compression for Image-to-Image CNNs. CoRR abs/2205.12268 (2022) - [i1]Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister:
NeRN - Learning Neural Representations for Neural Networks. CoRR abs/2212.13554 (2022)
2010 – 2019
- 2016
- [c1]Ronen I. Brafman, Michael Bar-Sinai, Maor Ashkenazi:
Performance level profiles: A formal language for describing the expected performance of functional modules. IROS 2016: 1751-1756
Coauthor Index
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