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Oleksandr Tkachenko
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Books and Theses
- 2022
- [b1]Oleksandr Tkachenko:
Towards Deployable MPC: Flexible and Efficient Tools for Real-World Applications. Technical University of Darmstadt, Germany, 2022
Journal Articles
- 2022
- [j2]Lennart Braun, Daniel Demmler, Thomas Schneider
, Oleksandr Tkachenko:
MOTION - A Framework for Mixed-Protocol Multi-Party Computation. ACM Trans. Priv. Secur. 25(2): 8:1-8:35 (2022) - 2020
- [j1]Kimmo Järvinen, Ágnes Kiss, Thomas Schneider
, Oleksandr Tkachenko, Zheng Yang
:
Faster privacy-preserving location proximity schemes for circles and polygons. IET Inf. Secur. 14(3): 254-265 (2020)
Conference and Workshop Papers
- 2024
- [c26]Hannah Keller
, Helen Möllering
, Thomas Schneider
, Oleksandr Tkachenko
, Liang Zhao
:
Secure Noise Sampling for DP in MPC with Finite Precision. ARES 2024: 25:1-25:12 - [c25]Olha Tkachenko, Kostiantyn Tkachenko, Oleksandr Tkachenko, Roman Kyrychok, Vladyslav Yaskevych:
Neural Networks in the Processing of Natural Language Texts in Information Learning Systems. CPITS 2024: 73-87 - [c24]Kostiantyn Tkachenko, Olha Tkachenko, Oleksandr Tkachenko, Nataliia Mazur, Iryna V. Mashkina:
Ontological Approach in Modern Educational Processes. CPITS 2024: 88-97 - [c23]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider
, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. SaTML 2024: 490-511 - 2023
- [c22]Lennart Braun
, Moritz Huppert
, Nora Khayata
, Thomas Schneider
, Oleksandr Tkachenko
:
FUSE - Flexible File Format and Intermediate Representation for Secure Multi-Party Computation. AsiaCCS 2023: 649-663 - [c21]Olha Tkachenko, Kostiantyn Tkachenko, Oleksandr Tkachenko, Mariia Astafieva:
Ontological Modeling of Intelligent Learning Systems with Elements of Gamification. CPITS 2023: 25-35 - [c20]Valentyna Pleskach, Kostiantyn Tkachenko, Olha Tkachenko, Oleksandr Tkachenko:
Using Ontologies and Knowledge Graphs to Individualize in E-Learning System. IT&I Workshops 2023: 106-115 - 2022
- [c19]Serhii W. Zabolotnii
, Oleksandr Tkachenko, Zygmunt L. Warsza:
Application of the Polynomial Maximization Method for Estimation Parameters of Autoregressive Models with Asymmetric Innovations. AUTOMATION 2022: 380-390 - [c18]Kay Hamacher
, Tobias Kussel
, Thomas Schneider
, Oleksandr Tkachenko
:
PEA: Practical Private Epistasis Analysis Using MPC. ESORICS (3) 2022: 320-339 - 2021
- [c17]Tim Heldmann, Thomas Schneider
, Oleksandr Tkachenko, Christian Weinert
, Hossein Yalame:
LLVM-Based Circuit Compilation for Practical Secure Computation. ACNS (2) 2021: 99-121 - [c16]Serhii W. Zabolotnii
, Oleksandr Tkachenko, Zygmunt Lech Warsza:
Application of the Polynomial Maximization Method for Estimation Parameters in the Polynomial Regression with Non-Gaussian Residuals. AUTOMATION 2021: 402-415 - [c15]Kostiantyn Tkachenko
, Olha Tkachenko
, Oleksandr Tkachenko
, Mariia Proskurina
, Iryna Parkhomenko
:
Ontological Modeling of the State Economic Development Policy for Cultural Industries. BIS 2021: 127-137 - 2020
- [c14]Kostyantyn Tkachenko, Olga Tkachenko, Oleksandr Tkachenko:
Designing complex intelligent systems on the basis of ontological models. CMIS 2020: 266-277 - 2019
- [c13]Serhii W. Zabolotnii
, Zygmunt L. Warsza, Oleksandr Tkachenko
:
Estimation of Linear Regression Parameters of Symmetric Non-Gaussian Errors by Polynomial Maximization Method. AUTOMATION 2019: 636-649 - [c12]Thomas Schneider
, Oleksandr Tkachenko:
EPISODE: Efficient Privacy-PreservIng Similar Sequence Queries on Outsourced Genomic DatabasEs. AsiaCCS 2019: 315-327 - [c11]Yevgen Samojlik, Viktor Gnatyuk, Volodymyr Klimchuk, Oleksii Shylo, Oleksandr Tkachenko, Yuliia Burmak:
Cryptographic Semantic System for Provision of the Performance Mode of Perfect Strong. CybHyg 2019: 458-470 - [c10]Benny Pinkas, Thomas Schneider
, Oleksandr Tkachenko
, Avishay Yanai:
Efficient Circuit-Based PSI with Linear Communication. EUROCRYPT (3) 2019: 122-153 - [c9]Kimmo Järvinen, Helena Leppäkoski
, Elena Simona Lohan
, Philipp Richter, Thomas Schneider
, Oleksandr Tkachenko, Zheng Yang:
PILOT: Practical Privacy-Preserving Indoor Localization Using OuTsourcing. EuroS&P 2019: 448-463 - [c8]Robert Nikolai Reith, Thomas Schneider
, Oleksandr Tkachenko:
Efficiently Stealing your Machine Learning Models. WPES@CCS 2019: 198-210 - 2018
- [c7]Serhii W. Zabolotnii
, Zygmunt Lech Warsza, Oleksandr Tkachenko
:
Polynomial Estimation of Linear Regression Parameters for the Asymmetric PDF of Errors. AUTOMATION 2018: 758-772 - [c6]Kimmo Järvinen, Ágnes Kiss, Thomas Schneider, Oleksandr Tkachenko
, Zheng Yang
:
Faster Privacy-Preserving Location Proximity Schemes. CANS 2018: 3-22 - [c5]Oleksandr Tkachenko
, Christian Weinert
, Thomas Schneider
, Kay Hamacher:
Large-Scale Privacy-Preserving Statistical Computations for Distributed Genome-Wide Association Studies. AsiaCCS 2018: 221-235 - [c4]M. Sadegh Riazi, Christian Weinert
, Oleksandr Tkachenko
, Ebrahim M. Songhori, Thomas Schneider
, Farinaz Koushanfar
:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. AsiaCCS 2018: 707-721 - [c3]Philipp Richter
, Helena Leppäkoski
, Elena Simona Lohan
, Zheng Yang, Kimmo Järvinen, Oleksandr Tkachenko
, Thomas Schneider
:
Received Signal Strength Quantization for Secure Indoor Positioning via Fingerprinting. ICL-GNSS 2018: 1-6 - [c2]Oleksandr Tkachenko:
Privacy-Preserving Genomics on a Large Scale. Krypto-Tag 2018 - [c1]Thomas Schneider
, Oleksandr Tkachenko
:
Towards Efficient Privacy-Preserving Similar Sequence Queries on Outsourced Genomic Databases. WPES@CCS 2018: 71-75
Informal and Other Publications
- 2023
- [i12]Lennart Braun, Moritz Huppert, Nora Khayata, Thomas Schneider, Oleksandr Tkachenko:
FUSE - Flexible File Format and Intermediate Representation for Secure Multi-Party Computation. IACR Cryptol. ePrint Arch. 2023: 563 (2023) - [i11]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. IACR Cryptol. ePrint Arch. 2023: 652 (2023) - [i10]Hannah Keller, Helen Möllering, Thomas Schneider, Oleksandr Tkachenko, Liang Zhao:
Secure Noise Sampling for DP in MPC with Finite Precision. IACR Cryptol. ePrint Arch. 2023: 1594 (2023) - 2022
- [i9]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert
, Hossein Yalame, Avishay Yanai:
ScionFL: Secure Quantized Aggregation for Federated Learning. CoRR abs/2210.07376 (2022) - [i8]Kay Hamacher, Tobias Kussel, Thomas Schneider, Oleksandr Tkachenko:
PEA: Practical private epistasis analysis using MPC. IACR Cryptol. ePrint Arch. 2022: 1185 (2022) - 2021
- [i7]Thomas Schneider, Oleksandr Tkachenko:
EPISODE: Efficient Privacy-PreservIng Similar Sequence Queries on Outsourced Genomic DatabasEs. IACR Cryptol. ePrint Arch. 2021: 29 (2021) - [i6]Tim Heldmann, Thomas Schneider, Oleksandr Tkachenko, Christian Weinert, Hossein Yalame:
LLVM-based Circuit Compilation for Practical Secure Computation. IACR Cryptol. ePrint Arch. 2021: 797 (2021) - 2020
- [i5]Lennart Braun, Daniel Demmler, Thomas Schneider, Oleksandr Tkachenko:
MOTION - A Framework for Mixed-Protocol Multi-Party Computation. IACR Cryptol. ePrint Arch. 2020: 1137 (2020) - 2019
- [i4]Benny Pinkas, Thomas Schneider, Oleksandr Tkachenko, Avishay Yanai:
Efficient Circuit-based PSI with Linear Communication. IACR Cryptol. ePrint Arch. 2019: 241 (2019) - 2018
- [i3]M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. CoRR abs/1801.03239 (2018) - [i2]Kimmo Järvinen, Ágnes Kiss, Thomas Schneider, Oleksandr Tkachenko, Zheng Yang:
Faster Privacy-Preserving Location Proximity Schemes. IACR Cryptol. ePrint Arch. 2018: 694 (2018) - 2017
- [i1]M. Sadegh Riazi, Christian Weinert, Oleksandr Tkachenko, Ebrahim M. Songhori, Thomas Schneider, Farinaz Koushanfar
:
Chameleon: A Hybrid Secure Computation Framework for Machine Learning Applications. IACR Cryptol. ePrint Arch. 2017: 1164 (2017)
Coauthor Index
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