Philip Derbeko

According to our database, Philip Derbeko authored at least 13 papers between 2002 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Efficient and Privacy Preserving Approximation of Distributed Statistical Queries.

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman

IEEE Trans. Big Data, 2022

2021

Wavelet-based dynamic and privacy-preserving similitude data models for edge computing.

Philip Derbeko, Shlomi Dolev, Ehud Gudes

Wirel. Networks, 2021

PolyDNN Polynomial Representation of NN for Communication-Less SMPC Inference.

Philip Derbeko, Shlomi Dolev

Proceedings of the Cyber Security Cryptography and Machine Learning, 2021

2019

Upper bounds for multi-level multi-server paging.

Shlomi Dolev, Anat Eyal, Danny Hendler, Philip Derbeko, Marina Sadetsky

Inf. Process. Lett., 2019

MLDStore - DNNs as Similitude Models for Sharing Big Data (Brief Announcement).

Philip Derbeko, Shlomi Dolev, Ehud Gudes

Proceedings of the Cyber Security Cryptography and Machine Learning, 2019

Deep Neural Networks as Similitude Models for Sharing Big Data.

Philip Derbeko, Shlomi Dolev, Ehud Gudes

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Privacy via Maintaining Small Similitude Data for Big Data Statistical Representation.

Philip Derbeko, Shlomi Dolev, Ehud Gudes

Proceedings of the Cyber Security Cryptography and Machine Learning, 2018

2017

Efficient and private approximations of distributed databases calculations.

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Security and privacy aspects in MapReduce on clouds: A survey.

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Shantanu Sharma

Comput. Sci. Rev., 2016

Concise essence-preserving big data representation.

Philip Derbeko, Shlomi Dolev, Ehud Gudes, Jeffrey D. Ullman

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2004

Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms.

Philip Derbeko, Ran El-Yaniv, Ron Meir

J. Artif. Intell. Res., 2004

2003

Error Bounds for Transductive Learning via Compression and Clustering.

Philip Derbeko, Ran El-Yaniv, Ron Meir

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002

Variance Optimized Bagging.

Philip Derbeko, Ran El-Yaniv, Ron Meir

Proceedings of the Machine Learning: ECML 2002, 2002