федеральное государственное автономное образовательное учреждение высшего образования
«Самарский национальный исследовательский университет имени академика С.П. Королева»

    Vybornova, Yuliya D.

    • Department of Geoinformatics and Information Security, associate professor
    • leading researcher
    • deputy Director of
    2025
    • 1 Vybornova Y., Aleshin M., Illarionova S. etc. Self-Supervised Learning for Temporal Action Segmentation in Industrial and Manufacturing Videos // IEEE Access 2025. — Vol. 13. — P. 39650-39665
    • 2 Makarov A., Mirpulatov I., Firsov N. etc. Deep Spectral-Spatial Transformer for Robust Hyperspectral Image Segmentation in Varying Field Conditions // IEEE Access 2025. — Vol. 13. — P. 97454-97471
    • 3 Novikov I.A., Makarov A.R., Podlipnov V.V. etc. Классификация интенсивности цветения водорослей на основе методов машинного обучения и гиперспектральных данных БПЛА // Computer Optics 2025. — Vol. 49. № 6. — P. 972-985
    2024
    • 1 Novikov I., Makarov A., Pirogov A. etc. Analysis of Hyperspectral Images of River Waters // Optical Memory and Neural Networks (Information Optics) 2024. — Vol. 33. Issue Suppl 2. № Suppl 2. — P. S386-S397
    2023
    • 1 Asanov A.S., Vybornova Y.D., Fedoseev V.A. Comparative Study of Compact Descriptors for Vector Map Protection // Lecture Notes in Networks and Systems. — 2023. — Vol. 647 LNNS. — P. 1189-1198
    • 2 Vybornova Y. Digital Watermarking Method for Copyright Protection of Deep Neural Networks // Lecture Notes in Networks and Systems. — 2023. — Vol. 739 LNNS. — P. 611-628
    • 3 Vybornova Y.D. Method for copyright protection of deep neural networks using digital watermarking // Computer Optics 2023. — Vol. 47. Issue 2. № 2. — P. 251-261
    • 4 Vybornova Y., Ulyanov D.I. Copyright Protection for Image Classification Models using Pseudo-holographic Watermarks // Proceedings of SPIE - The International Society for Optical Engineering. — 2023. — Vol. 12701.
    • 5 Vybornova Y.D., Ulyanov D.I. Copyright protection of deep image classification models // Computer Optics 2023. — Vol. 47. Issue 6. № 6. — P. 980-990
    2022
    • 1 Vybornova Y. Method for Copyright Protection of Deep Neural Networks using Digital Watermarking // Proceedings of SPIE - The International Society for Optical Engineering. — 2022. — Vol. 12084.
    • 2 Vybornova Y.D., Ulyanov D.I. Method for Protection of Deep Learning Models using Digital Watermarking // 2022 8th International Conference on Information Technology and Nanotechnology, ITNT 2022. — 2022. —
    • 3 Asanov A.S., Vybornova Yu.D., Fedoseev Viktor Andreevich Сравнительный анализ компактных дескрипторов для защиты векторной карты // 32-я Международная конференция по компьютерной графике и машинному зрению "GraphiCon 2022". — 2022. — P. 796-804
    2021
    • 1 Dikanev P., Vybornova Y. Method for Protection of PDF Documents against Counterfeiting using Semi-Fragile Watermarking // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
    • 2 Vybornova Y. Method for Construction of Three-Dimensional Pseudo-Holographic Digital Watermarks // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
    • 3 Vybornova Y., Sergeev V. Method for protection of copyright on vector data // Informatics and Automation 2021. — Vol. 20. Issue 1. — P. 181-212
    • 4 Bochkarev M., Vybornova Y. A QIM-based Watermarking Method for 3D Mesh Integrity Protection // Proceedings of ITNT 2021 - 7th IEEE International Conference on Information Technology and Nanotechnology. — 2021. —
    • 5 Vybornova Y. Method for Protection of Heterogeneous Data based on Pseudo-Holographic Watermarks // 9th International Symposium on Digital Forensics and Security, ISDFS 2021. — 2021. —
    2020
    • 1 Vybornova Y. A New Watermarking Method for Video Authentication with Tamper Localization // Lecture Notes in Computer Science. — 2020. — Vol. 12334 LNCS. — P. 201-213
    • 2 Vybornova Y., Sergeev V. Copyright protection method for vector map data // Communications in Computer and Information Science. — 2020. — Vol. 1247 CCIS. — P. 180-202
    • 3 Vybornova Y. Method for Construction of Highly Robust Watermarks in the Task of Copyright Protection for Digital Images // Proceedings of ITNT 2020 - 6th IEEE International Conference on Information Technology and Nanotechnology. — 2020. —
    • 4 Vybornova Y., Maksimov A. A comparative study of restoration techniques for images defined by chaotically scattered point set // CEUR Workshop Proceedings. — 2020. — Vol. 2665. — P. 141-144
    • 5 Vybornova Y. Method for Image Copyright Protection Based on Construction of Highly Robust Watermarks // 8th International Symposium on Digital Forensics and Security, ISDFS 2020. — 2020. —
    2019
    • 1 Vybornova Y.D., Sergeev V.V. A new watermarking method for vector map data // Proceedings of SPIE - The International Society for Optical Engineering. — 2019. — Vol. 11041.
    • 2 Vybornova Y.D., Sergeev V.V. New method for GIS vector data protection based on the use of secondary watermark // Computer Optics 2019. — Vol. 43. Issue 3. — P. 474-483
    • 3 Vybornova Y.D., Sergeyev V.V. A new watermarking method for vector map data: A study on information capacity of the carrier image // Journal of Physics: Conference Series. — 2019. — Vol. 1368. Issue 3.
    • 4 Vybornova Y., Sergeev V. Method for Vector Map Protection based on using of a Watermark Image as a Secondary Carrier // ICETE 2019 - Proceedings of the 16th International Joint Conference on e-Business and Telecommunications. — 2019. — Vol. 2. — P. 284-293
    2018
    • 1 Vybornova Y.D. Application of spatial interpolation methods for restoration of partially defined images // CEUR Workshop Proceedings. — 2018. — Vol. 2210. — P. 89-95
    2017
    • 1 Vybornova Y.D., Sergeev V.V. A new watermarking method for vector map data // Computer Optics 2017. — Vol. 41. Issue 6. — P. 913-919
    • 2 Vybornova Y.D. Password-based key derivation function as one of Blum-Blum-Shub pseudo-random generator applications // Procedia Engineering. — 2017. — Vol. 201. — P. 428-435