Object reidentification in real world scenarios across multiple non-overlapping cameras. - Guy Berdugo; Omri Soceanu; Yair Moshe; Dmitry Rudoy; Itsik Dvir (EUSIPCO, 2010)

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)

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)

Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. - Moran Baruch; Nir Drucker; Gilad Ezov; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CoRR, 2023)

Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. - Swanand Ravindra Kadhe; Heiko Ludwig; Nathalie Baracaldo; Alan King; Yi Zhou 015; Keith Houck; Ambrish Rawat; Mark Purcell; Naoise Holohan; Mikio Takeuchi; Ryo Kawahara; Nir Drucker; et al. (CoRR, 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)

Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference. - Moran Baruch; Nir Drucker; Gilad Ezov; Yoav Goldberg; Eyal Kushnir; Jenny Lerner; Omri Soceanu; Itamar Zimerman (CSCML, 2024)

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. - Itamar Zimerman; Moran Baruch; Nir Drucker; Gilad Ezov; Omri Soceanu; Lior Wolf (ICML, 2024)

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)