| A minimal variance estimator for the cardinality of big data set intersection R Cohen, L Katzir, A Yehezkel Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 28 | 2017 |
| Network anomaly detection using transfer learning based on auto-encoders loss normalization A Yehezkel, E Elyashiv, O Soffer Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security …, 2021 | 25 | 2021 |
| Degree-based attacks and defense strategies in complex networks A Yehezkel, R Cohen Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 86 (6 …, 2012 | 21 | 2012 |
| A unified scheme for generalizing cardinality estimators to sum aggregation R Cohen, L Katzir, A Yehezkel Information Processing Letters 115 (2), 336-342, 2015 | 14 | 2015 |
| Cardinality estimation meets good-turing R Cohen, L Katzir, A Yehezkel Big data research 9, 1-8, 2017 | 11 | 2017 |
| System and method for determining a file-access pattern and detecting ransomware attacks in at least one computer network E Elyashiv, E Upfal, A Yehezkel US Patent 11,716,338, 2023 | 9 | 2023 |
| System and method for determining a communication anomaly in at least one network E Elyashiv, E Upfal, A Yehezkel, ORM Ori US Patent App. 16/992,544, 2022 | 8 | 2022 |
| Using CFN for uniform sampling of cloud-native datacenters A Yehezkel, E Elyashiv, S Barkai 2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC …, 2022 | 3 | 2022 |
| MTS Sketch for Accurate Estimation of Set-Expression Cardinalities from Small Samples R Cohen, L Katzir, A Yehezkel arXiv preprint arXiv:1611.01853, 2016 | 3 | 2016 |
| A gnn-based approach for detecting network anomalies from small traffic samples A Yehezkel, E Elyashiv 2022 IEEE International Conference on Big Data (Big Data), 6838-6840, 2022 | 2 | 2022 |
| Efficient service chain verification using sketches and small samples R Cohen, L Katzir, A Yehezkel 2021 IEEE Conference on Network Function Virtualization and Software Defined …, 2021 | 2 | 2021 |
| SYSTEM AND METHOD FOR COMPUTER NETWORKS ENDPOINT THREAT PREDICTION BASED ON VECTOR EMBEDDING A Yehezkel, E Elyashiv, O Soffer US Patent App. 18/954,681, 2025 | | 2025 |
| An Efficient Approach for Enhancing GenAI Trustworthiness A Yehezkel 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Finding an Optimal Small Sample of Training Dataset for Computer Vision Deep-Learning Models A Yehezkel, E Elyashiv 2024 International Conference on Machine Learning and Applications (ICMLA …, 2024 | | 2024 |
| Towards a Global Anomaly Detector in High-speed Networks Where Traffic Sampling is a Necessity A Yehezkel, E Ohayon, E Elyashiv 2024 IEEE International Conference on Big Data (BigData), 8865-8867, 2024 | | 2024 |
| Improving Neural Networks Dropout Using An Enhanced Weights Scaling A Yehezkel 2024 IEEE International Conference on Big Data (BigData), 8868-8870, 2024 | | 2024 |
| Efficient Random Sampling from Very Large Databases I Cohen, A Yehezkel, Z Yakhini International Conference on Database and Expert Systems Applications, 124-138, 2024 | | 2024 |
| System and method of discovering a network asset from a network sample A Yehezkel, E Elyashiv US Patent App. 18/346,803, 2024 | | 2024 |
| System and method for determining a file-access pattern and detecting ransomware attacks in at least one computer network E Elyashiv, E Upfal, A Yehezkel US Patent App. 18/351,795, 2023 | | 2023 |
| System and method for determining a network performance property in at least one network E Elyashiv, E Upfal, A Yehezkel US Patent 11,711,310, 2023 | | 2023 |
Liran KatzirGoogle ResearchDirección de correo verificada de cs.technion.ac.il
