Philip Derbeko

Publication Activity (10 Years)

Years Active: 2002-2022
Publications (10 Years): 13

Top Topics

Secure Multiparty Computation

Privacy Preserving

Top Venues

Inf. Process. Lett.

Publications

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman
Efficient and Privacy Preserving Approximation of Distributed Statistical Queries. IEEE Trans. Big Data 8 (5) (2022)
Philip Derbeko, Shlomi Dolev, Ehud Gudes
Wavelet-based dynamic and privacy-preserving similitude data models for edge computing. Wirel. Networks 27 (1) (2021)
Philip Derbeko, Shlomi Dolev
PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference. CoRR (2021)
Philip Derbeko, Shlomi Dolev
PolyDNN Polynomial Representation of NN for Communication-Less SMPC Inference. CSCML (2021)
Philip Derbeko, Shlomi Dolev, Ehud Gudes
Deep Neural Networks as Similitude Models for Sharing Big Data. IEEE BigData (2019)
Shlomi Dolev, Anat Eyal, Danny Hendler, Philip Derbeko, Marina Sadetsky
Upper bounds for multi-level multi-server paging. Inf. Process. Lett. 142 (2019)
Philip Derbeko, Shlomi Dolev, Ehud Gudes
MLDStore - DNNs as Similitude Models for Sharing Big Data (Brief Announcement). CSCML (2019)
Philip Derbeko, Shlomi Dolev, Ehud Gudes
Privacy via Maintaining Small Similitude Data for Big Data Statistical Representation. CSCML (2018)
Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman
Efficient and private approximations of distributed databases calculations. IEEE BigData (2017)
Philip Derbeko, Shlomi Dolev, Ehud Gudes, Shantanu Sharma
Security and privacy aspects in MapReduce on clouds: A survey. Comput. Sci. Rev. 20 (2016)
Philip Derbeko, Shlomi Dolev, Ehud Gudes, Shantanu Sharma
Security and Privacy Aspects in MapReduce on Clouds: A Survey. CoRR (2016)
Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman
Concise essence-preserving big data representation. IEEE BigData (2016)
Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman
Efficient and Private Approximations of Distributed Databases Calculations. CoRR (2016)
Philip Derbeko, Ran El-Yaniv, Ron Meir
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms CoRR (2011)
Philip Derbeko, Ran El-Yaniv, Ron Meir
Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms. J. Artif. Intell. Res. 22 (2004)
Philip Derbeko, Ran El-Yaniv, Ron Meir
Error Bounds for Transductive Learning via Compression and Clustering. NIPS (2003)
Philip Derbeko, Ran El-Yaniv, Ron Meir
Variance Optimized Bagging. ECML (2002)