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2020 – today
- 2024
[c6]Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf:
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. ICML 2024- [i8]Itamar Zimerman, Allon Adir, Ehud Aharoni, Matan Avitan, Moran Baruch, Nir Drucker, Jenny Lerner, Ramy Masalha, Reut Meiri, Omri Soceanu:
Power-Softmax: Towards Secure LLM Inference over Encrypted Data. CoRR abs/2410.09457 (2024) - 2023
- [j2]Ehud Aharoni
, Allon Adir, Moran Baruch, Nir Drucker, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Guy Moshkowich, Dov Murik, Hayim Shaul, Omri Soceanu:
HeLayers: A Tile Tensors Framework for Large Neural Networks on Encrypted Data. Proc. Priv. Enhancing Technol. 2023(1): 325-342 (2023) - [c5]Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu:
Poster: Efficient AES-GCM Decryption Under Homomorphic Encryption. CCS 2023: 3567-3569 - [c4]Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín:
Efficient Pruning for Machine Learning Under Homomorphic Encryption. ESORICS (4) 2023: 204-225 - [i7]Moran Baruch, Nir Drucker, Gilad Ezov, Eyal Kushnir, Jenny Lerner, Omri Soceanu, Itamar Zimerman:
Sensitive Tuning of Large Scale CNNs for E2E Secure Prediction using Homomorphic Encryption. CoRR abs/2304.14836 (2023) - [i6]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:
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection. CoRR abs/2310.19304 (2023) - [i5]Itamar Zimerman, Moran Baruch, Nir Drucker, Gilad Ezov, Omri Soceanu, Lior Wolf:
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption. CoRR abs/2311.08610 (2023) - [i4]Ehud Aharoni, Nir Drucker, Gilad Ezov, Eyal Kushnir, Hayim Shaul, Omri Soceanu:
E2E near-standard and practical authenticated transciphering. IACR Cryptol. ePrint Arch. 2023: 1040 (2023) - 2022
- [j1]Ehud Aharoni, Nir Drucker, Gilad Ezov, Hayim Shaul, Omri Soceanu:
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics. IEEE Secur. Priv. 20(5): 35-43 (2022) - [c3]Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu:
Privacy-Preserving Record Linkage Using Local Sensitive Hash and Private Set Intersection. ACNS Workshops 2022: 398-424 - [i3]Allon Adir, Ehud Aharoni, Nir Drucker, Eyal Kushnir, Ramy Masalha, Michael Mirkin, Omri Soceanu:
Privacy-preserving record linkage using local sensitive hash and private set intersection. CoRR abs/2203.14284 (2022) - [i2]Ehud Aharoni, Moran Baruch, Pradip Bose, Alper Buyuktosunoglu, Nir Drucker, Subhankar Pal, Tomer Pelleg, Kanthi K. Sarpatwar, Hayim Shaul, Omri Soceanu, Roman Vaculín:
HE-PEx: Efficient Machine Learning under Homomorphic Encryption using Pruning, Permutation and Expansion. CoRR abs/2207.03384 (2022) - 2020
- [c2]Omri Soceanu, Allon Adir, Ehud Aharoni, Lev Greenberg, Habtamu Abie:
A Cloud-Based Anomaly Detection for IoT Big Data. CPS4CIP 2020: 87-104 - [i1]Ehud Aharoni, Allon Adir, Moran Baruch, Gilad Ezov, Ariel Farkash, Lev Greenberg, Ramy Masalha, Dov Murik, Omri Soceanu:
Tile Tensors: A versatile data structure with descriptive shapes for homomorphic encryption. CoRR abs/2011.01805 (2020)
2010 – 2019
- 2010
- [c1]Guy Berdugo, Omri Soceanu, Yair Moshe, Dmitry Rudoy, Itsik Dvir:
Object reidentification in real world scenarios across multiple non-overlapping cameras. EUSIPCO 2010: 1806-1810
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