Omri Soceanu - RankMe

18 papers A* 3Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	FHENDI: A Near-DRAM Accelerator for Compiler-Generated Fully Homomorphic Encryption Applications. HPCA Yongmo Park, Aporva Amarnath, Subhankar Pal, Karthik Swaminathan, Alper Buyuktosunoglu, Hayim Shaul, Ehud Aharoni, Nir Drucker, Wei D. Lu, Omri Soceanu, Pradip Bose
2024	A*	`conf`	Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. ICML Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
2024	—	`conf`	Polynomial Adaptation of Large-Scale CNNs for Homomorphic Encryption-Based Secure Inference. CSCML Moran Baruch, Nir Drucker, Gilad Ezov, Yoav Goldberg, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman
2024	J	`jnl`	Power-Softmax: Towards Secure LLM Inference over Encrypted Data. CoRR Itamar Zimerman, Allon Adir, Ehud Aharoni, Matan Avitan, Moran Baruch, Nir Drucker, Jenny Lerner, Ramy Masalha, Reut Meiri, Omri Soceanu
2023	J	`jnl`	Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf
2023	J	`jnl`	E2E near-standard and practical authenticated transciphering. IACR Cryptol. ePrint Arch. Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu
2023	—	`conf`	Efficient Pruning for Machine Learning Under Homomorphic Encryption. ESORICS (4) Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
2023	J	`jnl`	HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. Ehud Aharoni, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu
2023	A*	`conf`	Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. CCS Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu
2023	J	`jnl`	Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR Swanand Ravindra Kadhe, Heiko Ludwig, Nathalie Baracaldo, Alan King, Yi Zhou, Keith Houck, Ambrish Rawat, Mark Purcell, Naoise Holohan, Mikio Takeuchi, Ryo Kawahara, Nir Drucker, Hayim Shaul, Eyal Kushnir, Omri Soceanu
2023	J	`jnl`	Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. CoRR Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman
2022	J	`jnl`	Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. IEEE Secur. Priv. Ehud Aharoni, Nir Drucker, Gilad Ezov, Hayim Shaul, Omri Soceanu
2022	J	`jnl`	HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. CoRR Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín
2022	—	`conf`	Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. ACNS Workshops Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu
2022	J	`jnl`	Privacy-preserving record linkage using local sensitive hash and private set intersection. CoRR Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu
2020	—	`conf`	A Cloud-Based Anomaly Detection for IoT Big Data. CPS4CIP Omri Soceanu, Allon Adir, Ehud Aharoni, Lev Greenberg, Habtamu Abie
2020	J	`jnl`	Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu
2010	—	`conf`	Object reidentification in real world scenarios across multiple non-overlapping cameras. EUSIPCO Guy Berdugo, Omri Soceanu, Yair Moshe, Dmitry Rudoy, Itsik Dvir