Adversarial Attacks Impact on the Neural Network Performance and Visual Perception of Data under Attack
Y Usoltsev, B Lodonova, A Shelupanov, A Konev… - Information, 2022 - mdpi.com
Machine learning algorithms based on neural networks are vulnerable to adversarial
attacks. The use of attacks against authentication systems greatly reduces the accuracy of …
attacks. The use of attacks against authentication systems greatly reduces the accuracy of …
Generation of an EDS Key Based on a Graphic Image of a Subject's Face Using the RC4 Algorithm
A Semenkov, D Bragin, Y Usoltsev, A Konev… - Information, 2021 - mdpi.com
Modern facial recognition algorithms make it possible to identify system users by their
appearance with a high level of accuracy. In such cases, an image of the user's face is …
appearance with a high level of accuracy. In such cases, an image of the user's face is …
Multimodal Deep Learning Based Score Level Fusion Using Face and Fingerprint
K Shinde, C Kayte - … Conference on Advances in Computer Vision …, 2023 - atlantis-press.com
In the previous decade, biometrics referred to the automatic recognition of persons based on
their physiological or behavioural traits but unimodal biometrics have their limitations. Due to …
their physiological or behavioural traits but unimodal biometrics have their limitations. Due to …
Face, Finger Print and Iris Biological Characters Using Feature Level Fusion Based Multimodal Biometric Systems
M Shivakumar, CM Patil - Journal of Computational and …, 2018 - ingentaconnect.com
Biometric systems (BS) helps to reorganization of individual person based on the biological
traits like ears, veins, signatures, voices, typing styles, gaits, and etc. As, the Uni-modal BS …
traits like ears, veins, signatures, voices, typing styles, gaits, and etc. As, the Uni-modal BS …
[PDF][PDF] Generation of an EDS Key Based on a Graphic Image of a Subject's Face Using the RC4 Algorithm. Information 2021, 12, 19
A Semenkov, D Bragin, Y Usoltsev, A Konev… - 2021 - researchgate.net
Modern facial recognition algorithms make it possible to identify system users by their
appearance with a high level of accuracy. In such cases, an image of the user's face is …
appearance with a high level of accuracy. In such cases, an image of the user's face is …
[PDF][PDF] Multi-Modal Biometric: Bi-Directional Empirical Mode Decomposition with Hilbert-Hung Transformation
Biometric systems (BS) helps in reorganization of individual person based on the biological
traits like ears, veins, signatures, voices, typing styles, gaits, etc. As, the Uni-modal BS does …
traits like ears, veins, signatures, voices, typing styles, gaits, etc. As, the Uni-modal BS does …
Two-phase authentication and encryption algorithm for mobile users
From the multitude of problems regarding the security of distributed communication systems,
composed of mobile and fixed networks, the present work focuses on some modern …
composed of mobile and fixed networks, the present work focuses on some modern …