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ORCIDAlexandr Kuznetsov
Alexandr Alexandrovich Kuznetsov
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2020 – today
- 2024
[j23]Alexandr Kuznetsov
, Nikolay Poluyanenko, Emanuele Frontoni, Sergey Kandiy, Oleksandr Peliukh:
A new cost function for heuristic search of nonlinear substitutions. Expert Syst. Appl. 237(Part C): 121684 (2024)- [j22]Alexandr Kuznetsov, Nicolas Luhanko, Emanuele Frontoni, Luca Romeo, Riccardo Rosati:
Image steganalysis using deep learning models. Multim. Tools Appl. 83(16): 48607-48630 (2024) - [j21]Alexandr Kuznetsov, Nikolay Poluyanenko, Emanuele Frontoni, Sergey Kandiy, Olha Pieshkova:
Optimized simulated annealing for efficient generation of highly nonlinear S-boxes. Soft Comput. 28(5): 3905-3920 (2024) - [j20]Alexandr Kuznetsov, Serhii Kandii, Emanuele Frontoni, Nikolay Poluyanenko:
SBGen: A high-performance library for rapid generation of cryptographic S-boxes. SoftwareX 27: 101788 (2024) - [i7]Stavros Diolatzis, Tobias Zirr, Alexandr Kuznetsov, Georgios Kopanas, Anton Kaplanyan:
N-Dimensional Gaussians for Fitting of High Dimensional Functions. CoRR abs/2405.20067 (2024) - [i6]Alexandr Kuznetsov, Stavros Diolatzis, Anton Sochenov, Anton Kaplanyan:
Hybrid Rendering for Dynamic Scenes. CoRR abs/2406.07906 (2024) - [i5]Yunxiang Zhang, Alexandr Kuznetsov, Akshay Jindal, Kenneth Chen, Anton Sochenov, Anton Kaplanyan, Qi Sun:
Image-GS: Content-Adaptive Image Representation via 2D Gaussians. CoRR abs/2407.01866 (2024) - 2023
- [j19]Alexandr Kuznetsov, Mikolaj P. Karpinski, Ruslana Ziubina, Sergey Kandiy, Emanuele Frontoni, Oleksandr Peliukh, Olga Veselska, Ruslan Kozak:
Generation of Nonlinear Substitutions by Simulated Annealing Algorithm. Inf. 14(5): 259 (2023) - [j18]Alexandr Kuznetsov, Anna Kononchenko, Natalia Kryvinska:
Hiding data in vector images: software implementation and experimental research. Multim. Tools Appl. 82(10): 14581-14607 (2023) - 2022
- [b1]Alexandr Alexandrovich Kuznetsov, Oleksandr Volodymyrovych Potii, Nikolay Alexandrovich Poluyanenko, Yurii Ivanovich Gorbenko, Natalia Kryvinska:
Stream Ciphers in Modern Real-time IT Systems - Analysis, Design and Comparative Studies. Springer 2022, ISBN 978-3-030-79769-0, pp. 1-527 - [j17]Victor Krasnobayev, Alexandr Kuznetsov, Anastasiia Kiian:
Designing of fault-tolerant computer system structures using residue number systems. Open Comput. Sci. 12(1): 66-74 (2022) - [j16]Alexandr Kuznetsov, Alexander Onikiychuk, Olga Peshkova, Tomasz Gancarczyk, Kornel Warwas, Ruslana Ziubina:
Direct Spread Spectrum Technology for Data Hiding in Audio. Sensors 22(9): 3115 (2022) - [j15]Alexandr Kuznetsov, Lukasz Wieclaw, Nikolay Poluyanenko, Lukasz Hamera, Sergey Kandiy, Yelyzaveta Lohachova:
Optimization of a Simulated Annealing Algorithm for S-Boxes Generating. Sensors 22(16): 6073 (2022) - [j14]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Photon-Driven Neural Reconstruction for Path Guiding. ACM Trans. Graph. 41(1): 7:1-7:15 (2022) - [c43]Victor Krasnobayev, Alexandr Kuznetsov, Yelyzaveta Kuznetsova, Roman V. Kochan, Tomasz Gancarczyk:
Residual classes based mathematical model of the computer system's reliability. KES 2022: 80-89 - [c42]Alexandr Kuznetsov, Stanislaw A. Rajba, Olga Veselska, Mykhaylo Bagmut, Ruslana Ziubina, Olga Peshkova:
Codes for Multiple-Access Asynchronous Techniques. KES 2022: 2192-2201 - [c41]Alexandr Kuznetsov, Xuezheng Wang, Krishna Mullia, Fujun Luan, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi:
Rendering Neural Materials on Curved Surfaces. SIGGRAPH (Conference Paper Track) 2022: 9:1-9:9 - 2021
- [j13]Alexandr Alexandrovich Kuznetsov, Yurii Gorbenko, Anastasiia Kiian, Yuliia V. Ulianovska, Tetiana Kuznetsova:
Elliptic Curve Pseudorandom Bit Generator with Maximum Period Sequences. Int. J. Comput. 20(4): 494-505 (2021) - [j12]Alexandr Kuznetsov, Natalia Kryvinska, Anastasiia Kiian, Oleksii Smirnov, Kateryna Kuznetsova:
Full Non-Binary Constant-Weight Codes. SN Comput. Sci. 2(4): 337 (2021) - [j11]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Hierarchical neural reconstruction for path guiding using hybrid path and photon samples. ACM Trans. Graph. 40(4): 35:1-35:16 (2021) - [j10]Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi:
NeuMIP: multi-resolution neural materials. ACM Trans. Graph. 40(4): 175:1-175:13 (2021) - [c40]Victor Krasnobayev, Alexandr Kuznetsov, Anna Kononchenko, Tetiana Kuznetsova:
Method of Diagnostic of Non-Positional Code Structures in the System of Residue Classes Basing on the Usage of an Alternative Number Set Informativeness. CPITS I 2021: 97-106 - [c39]Alexandr Kuznetsov, Yaroslav Derevianko, Nikolay Poluyanenko, Oleksandr Bagmut:
Particle Swarm Optimization based on S-Boxes Generation. CPITS II (2) 2021: 120-134 - [c38]Victor Krasnobayev, Alexandr Kuznetsov, Victoria Popenko, Tetiana Kuznetsova:
Design of a Residual Adder in Computer Systems (short paper). CPITS I 2021: 206-212 - [c37]Alexandr Kuznetsov, Anna Kononchenko:
Data Hiding in Vector Images. CSIT (1) 2021: 171-176 - [c36]Alexandr Kuznetsov, Oleksii Smirnov, Victor Zhora, Alexander Onikiychuk, Olha Pieshkova:
Hiding Messages in Audio Files Using Direct Spread Spectrum. IDAACS 2021: 414-418 - [c35]Alexandr Kuznetsov, Anna Kononchenko:
Message Concealing in Vector Images. IDAACS 2021: 465-470 - [c34]Victor Krasnobaev, Alexandr Kuznetsov, Anastasiia Kiian, Kateryna Kuznetsova:
Fault Tolerance Computer System Structures Functioning in Residue Classes. IDAACS 2021: 471-474 - [c33]Alexandr Kuznetsov, Kateryna Kuznetsova:
Comment on "Particle Swarm Optimization Based Highly Nonlinear Substitution-Boxes Generation for Security Applications". IDAACS 2021: 485-488 - [c32]Alexandr Kuznetsov, Victor Krasnobaev, Mykhaylo Bagmut, Yelyzaveta Kuznetsova:
Investigation of the Correlation Properties of Spreading Sequences for Asynchronous CDMA. IDAACS 2021: 510-515 - [c31]Alexandr Kuznetsov, Maria Lutsenko, Mykhaylo Bagmut, Victor Zhora:
Performance Evaluation of the Classic McEliece Key Encapsulation Algorithm. IDAACS 2021: 755-760 - [c30]Alexandr Kuznetsov, Sergey Fedotov, Mykhaylo Bagmut:
Convolutional Neural Networks to Protect Against Spoofing Attacks on Biometric Face Authentication. PLAIS 2021: 123-146 - [i4]Alexandr Kuznetsov, Krishna Mullia, Zexiang Xu, Milos Hasan, Ravi Ramamoorthi:
NeuMIP: Multi-Resolution Neural Materials. CoRR abs/2104.02789 (2021) - 2020
- [j9]Alexandr Kuznetsov, Vyacheslav Kalashnikov, Robert Brumnik, Sergii Kavun:
Editorial "Computational Aspects of Critical Infrastructures Security", "Security and Post-quantum Cryptography". Int. J. Comput. 19: 233-236 (2020) - [j8]Alexandr Kuznetsov, Oleksandr Potii, Nikolay Poluyanenko, Oleksii Smirnov, Igor Stelnyk, Danylo Mialkovskyi:
Combining and filtering Functions in the Framework of nonlinear-feedback Shift Register. Int. J. Comput. 19: 247-256 (2020) - [c29]Alexandr Kuznetsov, Anastasiia Kiian, Kateryna Kuznetsova, Alexey Smirnov:
Data Hiding Scheme Based on Spread Sequence Addressing. CITRisk 2020: 44-58 - [c28]Victor Krasnobayev, Alexandr Kuznetsov, Anna Kononchenko, Tetiana Kuznetsova:
Algorithms for Determining Residues Modulo in a Complex Numerical Domain. CITRisk 2020: 118-129 - [c27]Kateryna Isirova, Anastasiia Kiian, Mariia Rodinko, Alexandr Kuznetsov:
Decentralized electronic voting system based on blockchain technology developing principals. CMIS 2020: 211-223 - [c26]Victor Krasnobayev, Alexandr Kuznetsov, Alina Yanko, Kateryna Kuznetsova:
The data errors control in the modular number system based on the nullification procedure. CMIS 2020: 580-593 - [c25]Victor Krasnobayev, Alexandr Kuznetsov, Alina Yanko, Tetiana Kuznetsova:
The analysis of the methods of data diagnostic in a residue number system. CMIS 2020: 594-609 - [c24]Nikolay Poluyanenko, Alexandr Kuznetsov, Elizaveta Lazareva, Andrey Marakushyn:
Extrapolation to calculate the probability of a double spending attack. CMIS 2020: 610-620 - [c23]Alexandr Kuznetsov, Alexey Smirnov, Ludmila Gorbacheva, Vitalina Babenko:
Hiding data in cover images using a pseudo-random sequences. CMIS 2020: 646-660 - [c22]Victor Krasnobayev, Alexandr Kuznetsov, Irina Lokotkova, Anastasiia Kiian, Tetiana Kuznetsova:
Techniques for Raising the Remainder to a Power in the System of Residual Classes. DESSERT 2020: 145-150 - [c21]Victor Krasnobayev, Alexandr Kuznetsov, Victoria Popenko, Anna Kononchenko, Tetiana Kuznetsova:
Determination of Positional Characteristics of Numbers in the Residual Class System. DESSERT 2020: 151-156 - [c20]Alexandr Kuznetsov, Oleksii Smirnov, Alexander Onikiychuk, Tymur Makushenko, Olha Anisimova, Anna Arischenko:
Adaptive Pseudo-Random Sequence Generation for Spread Spectrum Image Steganography. DESSERT 2020: 161-165 - [c19]Alexandr Kuznetsov, Anastasiia Kiian, Vitalina Babenko, Iryna Perevozova, Iryna Chepurko, Oleksii Smirnov:
New Approach to the Implementation of Post-Quantum Digital Signature Scheme. DESSERT 2020: 166-171 - [c18]Alexandr Kuznetsov, Anastasiia Kiian, Oleksii Smirnov, Alla Cherep, Meruert Kanabekova, Iryna Chepurko:
Testing of Code-Based Pseudorandom Number Generators for Post-Quantum Application. DESSERT 2020: 172-177 - [c17]Alexandr Kuznetsov, Anastasiia Kiian, Tetiana Kuznetsova, Alexey Smirnov:
Non-Binary Constant Weight Coding Technique. ICTERI 2020: 102-114 - [c16]Alexandr Kuznetsov, Alexey Smirnov, Diana Kovalchuk, Tetiana Kuznetsova:
New Technique for Hiding Data Using Adaptively Generated Pseudorandom Sequences. ICTERI Workshops 2020: 214-227 - [c15]Konstantin Lisitskiy, Irina Lisitska, Alexandr Kuznetsov:
Cryptographically Properties of Random S-Boxes. ICTERI Workshops 2020: 228-241 - [i3]Shilin Zhu, Zexiang Xu, Tiancheng Sun, Alexandr Kuznetsov, Mark Meyer, Henrik Wann Jensen, Hao Su, Ravi Ramamoorthi:
Photon-Driven Neural Path Guiding. CoRR abs/2010.01775 (2020)
2010 – 2019
- 2019
- [j7]Ivan Gorbenko, Alexandr Kuznetsov, Yurii Gorbenko, Serhii Vdovenko, Vladyslav Tymchenko, Maria Lutsenko:
Studies on Statistical Analysis and Performance Evaluation for some Stream Ciphers. Int. J. Comput. 18: 82-88 (2019) - [j6]Illarion Moskovchenko, Alexandr Kuznetsov, Sergii Kavun, Berik Akhmetov, Ivan Bilozertsev, Serhii Smirnov:
Heuristic Methods for the Design of Cryptographic Boolean Functions. Int. J. Comput. 18: 265-277 (2019) - [j5]Alexandr Kuznetsov, Ievgeniia Kolovanova, Oleksii Smirnov, Tetiana Kuznetsova:
Noise Immunity of the Algebraic Geometric codes. Int. J. Comput. 18: 393-407 (2019) - [j4]Alexandr Kuznetsov, Oleksandr Potii, Nikolay Poluyanenko, Serhii Ihnatenko, Igor Stelnyk, Danylo Mialkovskyi:
Opportunities to minimize Hardware and Software Costs for Implementing Boolean Functions in Stream Ciphers. Int. J. Comput. 18: 443-452 (2019) - [j3]Alexandr Kuznetsov, Milos Hasan, Zexiang Xu, Ling-Qi Yan, Bruce Walter, Nima Khademi Kalantari, Steve Marschner, Ravi Ramamoorthi:
Learning generative models for rendering specular microgeometry. ACM Trans. Graph. 38(6): 225:1-225:14 (2019) - [c14]Alexandr Kuznetsov, Maria Lutsenko, Kateryna Kuznetsova, Olena Martyniuk, Vitalina Babenko, Iryna Perevozova:
Statistical Testing of Blockchain Hash Algorithms. CMiGIN 2019: 67-79 - [c13]Alexandr Kuznetsov, Oleksiy Shapoval, Kyrylo Chernov, Yehor Yeromin, Mariia Popova, Olga Syniavska:
Automated Software Vulnerability Testing Using In-Depth Training Methods. CMIS 2019: 227-240 - [c12]Vitor Krasnobayev, Alexandr Kuznetsov, Anna Kononchenko, Tetiana Kuznetsova:
Method of Data Control in the Residue Classes. CMIS 2019: 241-252 - [c11]Vitor Krasnobayev, Alexandr Kuznetsov, Mihael Zub, Kateryna Kuznetsova:
Methods for Comparing Numbers in Non-Positional Notation of Residual Classes. CMIS 2019: 581-595 - [c10]Alexandr Kuznetsov, Oleksii Smirnov, Diana Kovalchuk, Mykola Pastukhov, Kateryna Kuznetsova, Dmytro Prokopovych-Tkachenko:
Discrete Signals with Special Correlation Properties. CMIS 2019: 618-629 - [c9]Alexandr Kuznetsov, Anastasiia Kiian, Kateryna Kuznetsova, Vlada Hryhorenko, Oleksii Smirnov, Dmytro Prokopovych-Tkachenko:
Soft Decoding Based on Ordered Subsets of Verification Equations of Turbo-Productive Codes. CMIS 2019: 873-884 - [c8]Alexandr Kuznetsov, Oleksii Smirnov, Diana Kovalchuk, Tetiana Kuznetsova:
New Technique for Data Hiding in Cover Images Using Adaptively Generated Pseudorandom Sequences. CybHyg 2019: 1-14 - [c7]Alexandr Kuznetsov, Oleksii Smirnov, Anna Arischenko, Iryna Chepurko, Alexander Onikiychuk, Tetiana Kuznetsova:
Pseudorandom Sequences for Spread Spectrum Image Steganography. CybHyg 2019: 122-131 - [c6]Alexandr Kuznetsov, Oleh Stefanovych, Yuriy Gorbenko, Oleksii Smirnov, Victor Krasnobaev, Kateryna Kuznetsova:
Information Hiding Using 3D-Printing Technology. IDAACS 2019: 701-706 - [c5]Alexandr Kuznetsov, Anastasiia Kiian, Andriy Pushkar'ov, Danylo Mialkovskyi, Oleksii Smirnov, Tetiana Kuznetsova:
Code-Based Schemes for Post-Quantum Digital Signatures. IDAACS 2019: 707-712 - [c4]Alexandr Kuznetsov, Oleksii Nariezhnii, Igor Stelnyk, Tetiana Kokhanovska, Oleksii Smirnov, Tetiana Kuznetsova:
Side Channel Attack on a Quantum Random Number Generator. IDAACS 2019: 713-717 - 2018
- [j2]Alexandr Kuznetsov, Nima Khademi Kalantari, Ravi Ramamoorthi:
Deep Adaptive Sampling for Low Sample Count Rendering. Comput. Graph. Forum 37(4): 35-44 (2018) - [c3]Sergey Rassomakhin, Alexandr Kuznetsov, Vladimir Shlokin, Ivan Belozertsev, Roman V. Serhiienko:
Mathematical Model for the Probabilistic Minutia Distribution in Biometric Fingerprint Images. DSMP 2018: 514-518 - 2017
- [j1]Lifan Wu, Ling-Qi Yan, Alexandr Kuznetsov, Ravi Ramamoorthi:
Multiple Axis-Aligned Filters for Rendering of Combined Distribution Effects. Comput. Graph. Forum 36(4): 155-166 (2017) - [c2]Alexandr Kuznetsov, Ilsiyar S. Mutaeva, Zinaida M. Kuznetsova:
Diagnostics of Functional State and Reserve Capacity of Young Athletes' Organism. icSPORTS 2017: 111-114
2000 – 2009
- 2009
- [c1]Yuriy I. Izbenko, Vladyslav Kovtun, Alexandr Kuznetsov:
The Design of Boolean Functions by Modified Hill Climbing Method. ITNG 2009: 356-361 - 2008
- [i2]Vladyslav Kovtun, Jan Pelzl, Alexandr Kuznetsov:
Software Implementation of Genus-2 Hyperelliptic Curve Cryptosystems Over Prime Fields. IACR Cryptol. ePrint Arch. 2008: 57 (2008) - [i1]Yuriy I. Izbenko, Vladyslav Kovtun, Alexandr Kuznetsov:
The Design of Boolean Functions by Modified Hill Climbing Method. IACR Cryptol. ePrint Arch. 2008: 111 (2008)
Coauthor Index
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last updated on 2024-10-07 21:12 CEST by the dblp team
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