Protecting ai payloads running in gpu against main cpu residing adversaries O Pogorelik, A Nayshtut, R Kellermann, V Gokulrangan US Patent App. 16/233,663, 2019 | 15 | 2019 |
Securing systems employing artificial intelligence O Pogorelik, A Nayshtut, O Ben-Shalom, D Klimov, R Kellermann, ... US Patent App. 17/254,235, 2021 | 13 | 2021 |
Multi-Loss Sub-Ensembles for Accurate Classification with Uncertainty Estimation O Achrack, R Kellerman, O Barzilay arXiv preprint arXiv:2010.01917, 2020 | 8 | 2020 |
Automated enrichment of speech transcription with context O Pogorelik, SJW Lawrence, A Fuchs, D Klimov, R Kellerman, S Hamawie, ... US Patent App. 16/234,542, 2019 | 7 | 2019 |
Spatiotemporal analysis of small bowel capsule endoscopy videos for outcomes prediction in Crohn’s disease R Kellerman, A Bleiweiss, S Samuel, R Margalit-Yehuda, E Aflalo, ... Therapeutic Advances in Gastroenterology 16, 17562848231172556, 2023 | 2 | 2023 |
Secret sharing with a neural cryptosystem R Kellerman, M Kounavis, O Ben-Shalom, A Nayshtut, O Pogorelik US Patent App. 17/314,041, 2021 | 2 | 2021 |
Analytic workload partitioning for security and performance optimization I Levin, G Melzer, A Nayshtut, R Kellerman US Patent 11,567,761, 2023 | 1 | 2023 |
PRIVACY-PRESERVING RECONSTRUCTION FOR COMPRESSED SENSING R Kellermann, O Ben-shalom, A Nayshtut US Patent App. 17/560,861, 2022 | 1 | 2022 |
Method for random sampled convolutions with low cost enhanced expressive power S Fleishman, R Kellermann, R Hanocka US Patent App. 16/448,355, 2019 | 1 | 2019 |
Security optimizing compute distribution in a hybrid deep learning environment O Pogorelik, A Nayshtut, ME Kounavis, R Kellermann, DM Durham US Patent 11,574,175, 2023 | | 2023 |
Age-related Macular Degeneration (AMD) Staging from Routine Clinical OCT Scans using Deep Learning (DL) LT ,Yahel Shwartz, Amit Gur, Vivian Rivkah Lender, Yaacov Cnaany, Raizy ... Investigative Ophthalmology & Visual Science 64, 333-333, 2023 | | 2023 |
SPACIOTMEPORAL MACHINE LEARNING ANALYSIS OF COMPLETE SMALL BOWEL ENDOSCOPY VIDEOS FOR PREDICTION OF OUTCOMES IN CROHN'S DISEASE R Kellerman, A Bleiweiss, S Samuel, R Margalit-Yehuda, O Barzilay, ... Gastrointestinal Endoscopy 95 (6), AB472-AB473, 2022 | | 2022 |
ADVERSARIAL SAMPLE PROTECTION FOR MACHINE LEARNING A Nayshtut, R Kellermann, O Ben-shalom, D Levy US Patent App. 17/560,976, 2022 | | 2022 |
MECHANISM FOR POISON DETECTION IN A FEDERATED LEARNING SYSTEM A Nayshtut, R Kellermann, O Ben-shalom US Patent App. 17/558,744, 2022 | | 2022 |
MACHINE LEARNING FRAUD RESILIENCY USING PERCEPTUAL DESCRIPTORS R Kellermann, O Ben-shalom, A Nayshtut US Patent App. 17/560,943, 2022 | | 2022 |
FEDERATED LEARNING MECHANISM R Kellerman, A Nayshtut, O Ben-shalom, O Pogorelik US Patent App. 17/545,135, 2022 | | 2022 |
P269 Spaciotemporal machine learning analysis of complete small bowel capsule endoscopy videos for prediction of outcomes in Crohn’s disease R Kellerman, A Bleiweiss, S Samuel, O Barzilay, R Margalit Yehuda, ... Journal of Crohn's and Colitis 16 (Supplement_1), i308-i309, 2022 | | 2022 |
Systems, methods, and apparatus to improve computing system utilization O Pogorelik, A Manevitch, R Kellerman US Patent 10,956,789, 2021 | | 2021 |
Non-maximum suppression of features for object detection R Kellerman US Patent 10,949,711, 2021 | | 2021 |
Connected component labeling in graphics processors A Eldar, N Teomim, A Manevitch, A Goldman, LA Zour, O Weisel, ... US Patent 9,558,560, 2017 | | 2017 |