Ariel Farkash

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 13

Top Topics

Machine Learning Models

Top Venues

DPM/CBT@ESORICS

Publications

Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit
Membership Inference Attacks Against Time-Series Models. CoRR (2024)
Guy Amit, Abigail Goldsteen, Ariel Farkash
SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. CoRR (2024)
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)
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) (2023)
Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain. MIE (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data minimization for GDPR compliance in machine learning models. AI Ethics 2 (3) (2022)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. DPM/CBT@ESORICS (2021)
Micha Moffie, Dan Mor, Sigal Asaf, Ariel Farkash
Next Generation Data Masking Engine. DPM/CBT@ESORICS (2021)
Abigail Goldsteen, Gilad Ezov, Ariel Farkash
Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Anonymizing Machine Learning Models. CoRR (2020)
Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
Data Minimization for GDPR Compliance in Machine Learning Models. CoRR (2020)
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 (2020)
Sigal Asaf, Ariel Farkash, Micha Moffie
Multi-value Classification of Ambiguous Personal Data. MEDI Workshops (2019)
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)
Abigail Goldsteen, Ksenya Kveler, Tamar Domany, Igor Gokhman, Boris Rozenberg, Ariel Farkash
Application-Screen Masking: A Hybrid Approach. IEEE Softw. 32 (4) (2015)
Ariel Farkash, John T. E. Timm, Zeev Waks
A Model-Driven Approach to Clinical Practice Guidelines Representation and Evaluation Using Standards. MedInfo (2013)
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)
John T. E. Timm, Sondra R. Renly, Ariel Farkash
Large Scale Healthcare Data Integration and Analysis using the Semantic Web. MIE (2011)
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)
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) (2011)
David Carlson, Ariel Farkash, John T. E. Timm
A Model-Driven Approach for Biomedical Data Integration. MedInfo (2010)
Stefano Bianchi, Anna Burla, Costanza Conti, Ariel Farkash, Carmel Kent, Yonatan Maman, Amnon Shabo
Semantic Warehousing of Diverse Biomedical Information. NGITS (2009)