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Ariel Farkash
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2020 – today
- 2024
- [i6]Guy Amit, Abigail Goldsteen, Ariel Farkash:
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. CoRR abs/2403.08481 (2024) - [i5]Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit:
Membership Inference Attacks Against Time-Series Models. CoRR abs/2407.02870 (2024) - 2023
- [j4]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) - [c12]Nandana Mihindukulasooriya, Sarthak Dash, Sugato Bagchi, Md. Faisal Mahbub Chowdhury, Alfio Massimiliano Gliozzo, Ariel Farkash, Michael R. Glass, Igor Gokhman, Oktie Hassanzadeh, Nhan Pham, Gaetano Rossiello, Boris Rozenberg, Yehoshua Sagron, Dharmashankar Subramanian, Toshihiro Takahashi, Takaaki Tateishi, Long Vu:
Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models. ISWC (Posters/Demos/Industry) 2023 - 2022
- [j3]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Data minimization for GDPR compliance in machine learning models. AI Ethics 2(3): 477-491 (2022) - [c11]Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin:
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain. MIE 2022: 121-122 - 2021
- [c10]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Anonymizing Machine Learning Models. DPM/CBT@ESORICS 2021: 121-136 - [c9]Micha Moffie, Dan Mor, Sigal Asaf, Ariel Farkash:
Next Generation Data Masking Engine. DPM/CBT@ESORICS 2021: 152-160 - 2020
- [i4]Abigail Goldsteen, Gilad Ezov, Ariel Farkash:
Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR abs/2006.15877 (2020) - [i3]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Anonymizing Machine Learning Models. CoRR abs/2007.13086 (2020) - [i2]Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash:
Data Minimization for GDPR Compliance in Machine Learning Models. CoRR abs/2008.04113 (2020) - [i1]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)
2010 – 2019
- 2019
- [c8]Sigal Asaf, Ariel Farkash, Micha Moffie:
Multi-value Classification of Ambiguous Personal Data. MEDI Workshops 2019: 202-208 - 2015
- [j2]Abigail Goldsteen, Ksenya Kveler, Tamar Domany, Igor Gokhman, Boris Rozenberg, Ariel Farkash:
Application-Screen Masking: A Hybrid Approach. IEEE Softw. 32(4): 40-45 (2015) - [c7]Esther Goldbraich, Zeev Waks, Ariel Farkash, Marco Monti, Michele Torresani, Rossella Bertulli
, Paolo Giovanni Casali
, Boaz Carmeli:
Understanding Deviations from Clinical Practice Guidelines in Adult Soft Tissue Sarcoma. MedInfo 2015: 280-284 - 2013
- [c6]Zeev Waks, Esther Goldbraich, Ariel Farkash, Michele Torresani, Rossella Bertulli
, Nicola Restifo, Paolo Locatelli
, Paolo Giovanni Casali
, Boaz Carmeli:
Analyzing the "CareGap": Assessing Gaps in Adherence to Clinical Guidelines in Adult Soft Tissue Sarcoma. EFMI-STC 2013: 46-50 - [c5]Ariel Farkash, John T. E. Timm, Zeev Waks:
A Model-Driven Approach to Clinical Practice Guidelines Representation and Evaluation Using Standards. MedInfo 2013: 200-204 - 2011
- [j1]Joseph P. Bigus, Murray Campbell, Boaz Carmeli, Melissa Cefkin, Henry Chang, Ching-Hua Chen-Ritzo, William F. Cody, Shahram Ebadollahi, Alexandre V. Evfimievski, Ariel Farkash, Susanne Glissmann, David Gotz, Tyrone Grandison
, Daniel Gruhl, Peter J. Haas, Mark J. H. Hsiao, Pei-Yun Sabrina Hsueh, Jianying Hu, Joseph M. Jasinski, James H. Kaufman, Cheryl A. Kieliszewski, Martin S. Kohn, Sarah E. Knoop, Paul P. Maglio, Ronald L. Mak, Haim Nelken, Chalapathy Neti, Hani Neuvirth, Yue Pan, Yardena Peres, Sreeram Ramakrishnan, Michal Rosen-Zvi, Sondra R. Renly, Pat Selinger, Amnon Shabo, Robert Sorrentino, Jimeng Sun
, Tanveer Fathima Syeda-Mahmood, Wang Chiew Tan, Ying Y. Y. Tao, Reza Yaesoubi, Xinxin Zhu:
Information technology for healthcare transformation. IBM J. Res. Dev. 55(5): 6 (2011) - [c4]Ariel Farkash, Hani Neuvirth, Yaara Goldschmidt, Costanza Conti, Federica Rizzi
, Stefano Bianchi, Erika Salvi
, Daniele Cusi, Amnon Shabo:
A Standard Based Approach for Biomedical Knowledge Representation. MIE 2011: 689-693 - [c3]John T. E. Timm, Sondra R. Renly, Ariel Farkash:
Large Scale Healthcare Data Integration and Analysis using the Semantic Web. MIE 2011: 729-733 - 2010
- [c2]David Carlson, Ariel Farkash, John T. E. Timm:
A Model-Driven Approach for Biomedical Data Integration. MedInfo 2010: 1164-1168
2000 – 2009
- 2009
- [c1]Stefano Bianchi, Anna Burla, Costanza Conti, Ariel Farkash, Carmel Kent, Yonatan Maman, Amnon Shabo:
Semantic Warehousing of Diverse Biomedical Information. NGITS 2009: 73-85
Coauthor Index
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last updated on 2024-08-08 19:14 CEST by the dblp team
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