Aviv Yehezkel

Zohar Yakhini

Proceedings of the Database and Expert Systems Applications, 2024

Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity.

[BibT_eX]

[DOI]

Eldad Ohayon

Proceedings of the IEEE International Conference on Big Data, 2024

Improving Neural Networks Dropout Using An Enhanced Weights Scaling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2024

2022

Using CFN for Uniform Sampling of Cloud-Native Datacenters.

[BibT_eX]

[DOI]

Sharon Barkai

Proceedings of the 19th IEEE Annual Consumer Communications & Networking Conference, 2022

A GNN-based Approach for Detecting Network Anomalies from Small Traffic Samples.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Efficient Service Chain Verification Using Sketches and Small Samples.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE Conference on Network Function Virtualization and Software Defined Networks, 2021

Network Anomaly Detection Using Transfer Learning Based on Auto-Encoders Loss Normalization.

[BibT_eX]

[DOI]

Or Soffer

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2017

Generalizations of the Cardinality Estimation Problem and Applications to Computer Networks.

[BibT_eX]

[DOI]

PhD thesis, 2017

Cardinality Estimation Meets Good-Turing.

[BibT_eX]

[DOI]

Big Data Res., 2017

A Minimal Variance Estimator for the Cardinality of Big Data Set Intersection.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

2016

MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples.

[BibT_eX]

[DOI]

CoRR, 2016

2015

A unified scheme for generalizing cardinality estimators to sum aggregation.

[BibT_eX]

[DOI]