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pro vyhledávání: '"P. A. Rogov"'
Publikováno v:
Актуальные проблемы филологии и педагогической лингвистики, Iss 4, Pp 62-71 (2021)
Offered article is devoted to a problem of studying of communicative repertoir of political scientists. The given problem is actual in connection with distinction of objectives which are pursued by politicians and political scientists, and as consequ
Externí odkaz:
https://doaj.org/article/341223499feb44b1b5f4a3b72942f895
Kniha
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Akademický článek
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Autor:
Dontsov, Alexey, Korzh, Dmitrii, Zhavoronkin, Alexey, Mikheev, Boris, Bobkov, Denis, Alanov, Aibek, Rogov, Oleg Y., Oseledets, Ivan, Tutubalina, Elena
Machine Unlearning (MU) is critical for enhancing privacy and security in deep learning models, particularly in large multimodal language models (MLLMs), by removing specific private or hazardous information. While MU has made significant progress in
Externí odkaz:
http://arxiv.org/abs/2410.18057
Autor:
article Editorial
Publikováno v:
Рациональная фармакотерапия в кардиологии, Vol 16, Iss 6, Pp 1039-1040 (2020)
Externí odkaz:
https://doaj.org/article/a4ef74ab781d45a5a515700080d82f55
Autor:
Borodin, Kirill, Kudryavtsev, Vasiliy, Korzh, Dmitrii, Efimenko, Alexey, Mkrtchian, Grach, Gorodnichev, Mikhail, Rogov, Oleg Y.
Automatic Speaker Verification (ASV) systems, which identify speakers based on their voice characteristics, have numerous applications, such as user authentication in financial transactions, exclusive access control in smart devices, and forensic fra
Externí odkaz:
http://arxiv.org/abs/2408.17352
While Deep Neural Networks (DNNs) have demonstrated remarkable performance in tasks related to perception and control, there are still several unresolved concerns regarding the privacy of their training data, particularly in the context of vulnerabil
Externí odkaz:
http://arxiv.org/abs/2405.07562
Speaker recognition technology is applied in various tasks ranging from personal virtual assistants to secure access systems. However, the robustness of these systems against adversarial attacks, particularly to additive perturbations, remains a sign
Externí odkaz:
http://arxiv.org/abs/2404.18791
Publikováno v:
Chaos, Solitons & Fractals, 115197, Volume 186, 2024
Modulation instability is a phenomenon of spontaneous pattern formation in nonlinear media, oftentimes leading to an unpredictable behaviour and a degradation of a signal of interest. We propose an approach based on reinforcement learning to suppress
Externí odkaz:
http://arxiv.org/abs/2404.04310
As deep learning (DL) models are widely and effectively used in Machine Learning as a Service (MLaaS) platforms, there is a rapidly growing interest in DL watermarking techniques that can be used to confirm the ownership of a particular model. Unfort
Externí odkaz:
http://arxiv.org/abs/2401.08261