Ariel Farkash - RankMe

25 papers C 1Journal 10Unranked 14

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Improving Membership Inference Attacks Against Classification Models. KES-IDT Shlomit Shachor, Natalia Razinkov, Abigail Goldsteen, Ariel Farkash
2024	C	`conf`	Membership Inference Attacks Against Time-Series Models. ACML Noam Koren, Abigail Goldsteen, Guy Amit, Ariel Farkash
2024	J	`jnl`	Membership Inference Attacks Against Time-Series Models. CoRR Noam Koren, Abigail Goldsteen, Ariel Farkash, Guy Amit
2024	J	`jnl`	SoK: Reducing the Vulnerability of Fine-tuned Language Models to Membership Inference Attacks. CoRR Guy Amit, Abigail Goldsteen, Ariel Farkash
2023	J	`jnl`	HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu
2023	—	`conf`	NEMECYS: Addressing Challenges to Building Security Into Connected Medical Devices. CENTERIS/ProjMAN/HCist Martin Gilje Jaatun, Steve Taylor, Colin Upstill, Ariel Farkash, Salvador Garcia, Christos Androutsos
2023	—	`conf`	Unleashing the Potential of Data Lakes with Semantic Enrichment Using Foundation Models. ISWC (Posters/Demos/Industry) 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
2022	—	`conf`	Applying Artificial Intelligence Privacy Technology in the Healthcare Domain. MIE Abigail Goldsteen, Ariel Farkash, Micha Moffie, Ron Shmelkin
2022	J	`jnl`	Data minimization for GDPR compliance in machine learning models. AI Ethics Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
2021	—	`conf`	Anonymizing Machine Learning Models. DPM/CBT@ESORICS Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
2021	—	`conf`	Next Generation Data Masking Engine. DPM/CBT@ESORICS Micha Moffie, Dan Mor, Sigal Asaf, Ariel Farkash
2020	J	`jnl`	Anonymizing Machine Learning Models. CoRR Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
2020	J	`jnl`	Data Minimization for GDPR Compliance in Machine Learning Models. CoRR Abigail Goldsteen, Gilad Ezov, Ron Shmelkin, Micha Moffie, Ariel Farkash
2020	J	`jnl`	Reducing Risk of Model Inversion Using Privacy-Guided Training. CoRR Abigail Goldsteen, Gilad Ezov, Ariel Farkash
2020	J	`jnl`	Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu
2019	—	`conf`	Multi-value Classification of Ambiguous Personal Data. MEDI Workshops Sigal Asaf, Ariel Farkash, Micha Moffie
2015	J	`jnl`	Application-Screen Masking: A Hybrid Approach. IEEE Softw. Abigail Goldsteen, Ksenya Kveler, Tamar Domany, Igor Gokhman, Boris Rozenberg, Ariel Farkash
2015	—	`conf`	Understanding Deviations from Clinical Practice Guidelines in Adult Soft Tissue Sarcoma. MedInfo Esther Goldbraich, Zeev Waks, Ariel Farkash, Marco Monti, Michele Torresani, Rossella Bertulli, Paolo Giovanni Casali, Boaz Carmeli
2013	—	`conf`	A Model-Driven Approach to Clinical Practice Guidelines Representation and Evaluation Using Standards. MedInfo Ariel Farkash, John T. E. Timm, Zeev Waks
2013	—	`conf`	Analyzing the "CareGap": Assessing Gaps in Adherence to Clinical Guidelines in Adult Soft Tissue Sarcoma. EFMI-STC Zeev Waks, Esther Goldbraich, Ariel Farkash, Michele Torresani, Rossella Bertulli, Nicola Restifo, Paolo Locatelli, Paolo Giovanni Casali, Boaz Carmeli
2011	—	`conf`	A Standard Based Approach for Biomedical Knowledge Representation. MIE Ariel Farkash, Hani Neuvirth, Yaara Goldschmidt, Costanza Conti, Federica Rizzi, Stefano Bianchi, Erika Salvi, Daniele Cusi, Amnon Shabo
2011	J	`jnl`	Information technology for healthcare transformation. IBM J. Res. Dev. 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
2011	—	`conf`	Large Scale Healthcare Data Integration and Analysis using the Semantic Web. MIE John T. E. Timm, Sondra R. Renly, Ariel Farkash
2010	—	`conf`	A Model-Driven Approach for Biomedical Data Integration. MedInfo David Carlson, Ariel Farkash, John T. E. Timm
2009	—	`conf`	Semantic Warehousing of Diverse Biomedical Information. NGITS Stefano Bianchi, Anna Burla, Costanza Conti, Ariel Farkash, Carmel Kent, Yonatan Maman, Amnon Shabo