Restricted dynamic Steiner trees for scalable multicast in datagram networks. - Ehud Aharoni; Reuven Cohen (IEEE/ACM Trans. Netw., 1998)

Selecting anti-HIV therapies based on a variety of genomic and clinical factors. - Michal Rosen-Zvi; André Altmann; Mattia Prosperi; Ehud Aharoni; Hani Neuvirth; Anders Sönnerborg; Eugen Schülter; Daniel Struck; Yardena Peres; Francesca Incardona; Rolf Kaiser; Maurizio Zazzi; et al. (ISMB, 2008)

HIV-1 Drug Resistance Prediction and Therapy Optimization: A Case Study for the Application of Classification and Clustering Methods. - Michal Rosen-Zvi; Ehud Aharoni; Joachim Selbig (Similarity-Based Clustering, 2009)

Smarter log analysis. - Ehud Aharoni; Shai Fine; Yaara Goldschmidt; Ofer Lavi; Oded Margalit; Michal Rosen-Zvi; Lavi Shpigelman (IBM J. Res. Dev., 2011)

The Quality Preserving Database: A Computational Framework for Encouraging Collaboration, Enhancing Power and Controlling False Discovery. - Ehud Aharoni; Hani Neuvirth; Saharon Rosset (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Hartigan's K-Means Versus Lloyd's K-Means - Is It Time for a Change? - Noam Slonim; Ehud Aharoni; Koby Crammer (IJCAI, 2013)

A Benchmark Dataset for Automatic Detection of Claims and Evidence in the Context of Controversial Topics. - Ehud Aharoni; Anatoly Polnarov; Tamar Lavee; Daniel Hershcovich; Ran Levy 001; Ruty Rinott; Dan Gutfreund; Noam Slonim (ArgMining@ACL, 2014)

Context Dependent Claim Detection. - Ran Levy 001; Yonatan Bilu; Daniel Hershcovich; Ehud Aharoni; Noam Slonim (COLING, 2014)

Claims on demand - an initial demonstration of a system for automatic detection and polarity identification of context dependent claims in massive corpora. - Noam Slonim; Ehud Aharoni; Carlos Alzate; Roy Bar-Haim; Yonatan Bilu; Lena Dankin; Iris Eiron; Daniel Hershcovich; Shay Hummel; Mitesh M. Khapra; Tamar Lavee; Ran Levy 001; et al. (COLING (Demos), 2014)

Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection. - Ruty Rinott; Lena Dankin; Carlos Alzate Perez; Mitesh M. Khapra; Ehud Aharoni; Noam Slonim (EMNLP, 2015)

On the Retrieval of Wikipedia Articles Containing Claims on Controversial Topics. - Haggai Roitman; Shay Hummel; Ella Rabinovich; Benjamin Sznajder; Noam Slonim; Ehud Aharoni (WWW (Companion Volume), 2016)

Identifying malicious activities from system execution traces. - Ehud Aharoni; Ron Peleg; Shmulik Regev; Tamer Salman (IBM J. Res. Dev., 2016)

Anomaly Detection in Large Databases Using Behavioral Patterning. - Hanna Mazzawi; Gal Dalal; David Rozenblat; Liat Ein-Dor; Matan Ninio; Ofer Lavi; Allon Adir; Ehud Aharoni; Einat Kermany (ICDE, 2017)

Big data analysis of cloud storage logs using spark. - Shelly Garion; Hillel Kolodner; Allon Adir; Ehud Aharoni; Lev Greenberg (SYSTOR, 2017)

A Cloud-Based Anomaly Detection for IoT Big Data. - Omri Soceanu; Allon Adir; Ehud Aharoni; Lev Greenberg; Habtamu Abie (CPS4CIP, 2020)

Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. - Ehud Aharoni; Allon Adir; Moran Baruch; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Dov Murik; Omri Soceanu (CoRR, 2020)

Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. - Allon Adir; Ehud Aharoni; Nir Drucker; Eyal Kushnir; Ramy Masalha; Michael Mirkin; Omri Soceanu (ACNS Workshops, 2022)

HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. - Ehud Aharoni; Moran Baruch; Pradip Bose; Alper Buyuktosunoglu; Nir Drucker; Subhankar Pal; Tomer Pelleg; Kanthi K. Sarpatwar; Hayim Shaul; Omri Soceanu; Roman Vaculín (CoRR, 2022)

Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. - Ehud Aharoni; Nir Drucker; Gilad Ezov; Hayim Shaul; Omri Soceanu (IEEE Secur. Priv., 2022)

Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. - Ehud Aharoni; Nir Drucker; Gilad Ezov; Eyal Kushnir; Hayim Shaul; Omri Soceanu (CCS, 2023)

Tutorial-HEPack4ML '23: Advanced HE Packing Methods with Applications to ML. - Ehud Aharoni; Nir Drucker; Hayim Shaul (CCS, 2023)

Generating One-Hot Maps Under Encryption. - Ehud Aharoni; Nir Drucker; Eyal Kushnir; Ramy Masalha; Hayim Shaul (CSCML, 2023)

Efficient Pruning for Machine Learning Under Homomorphic Encryption. - Ehud Aharoni; Moran Baruch; Pradip Bose; Alper Buyuktosunoglu; Nir Drucker; Subhankar Pal; Tomer Pelleg; Kanthi K. Sarpatwar; Hayim Shaul; Omri Soceanu; Roman Vaculín (ESORICS (4), 2023)

E2E near-standard and practical authenticated transciphering. - Ehud Aharoni; Nir Drucker; Gilad Ezov; Eyal Kushnir; Hayim Shaul; Omri Soceanu (IACR Cryptol. ePrint Arch., 2023)

HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. - Ehud Aharoni; Allon Adir; Moran Baruch; Nir Drucker; Gilad Ezov; Ariel Farkash; Lev Greenberg; Ramy Masalha; Guy Moshkowich; Dov Murik; Hayim Shaul; Omri Soceanu (Proc. Priv. Enhancing Technol., 2023)

Power-Softmax: Towards Secure LLM Inference over Encrypted Data. - Itamar Zimerman; Allon Adir; Ehud Aharoni; Matan Avitan; Moran Baruch; Nir Drucker; Jenny Lerner; Ramy Masalha; Reut Meiri; Omri Soceanu (CoRR, 2024)

FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications. - Yongmo Park; Aporva Amarnath; Subhankar Pal; Karthik Swaminathan; Alper Buyuktosunoglu; Hayim Shaul; Ehud Aharoni; Nir Drucker; Wei D. Lu; Omri Soceanu; Pradip Bose (HPCA, 2025)