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2020 – today
- 2024
[j7]Olha Jurecková, Martin Jurecek
, Mark Stamp, Fabio Di Troia, Róbert Lórencz:
Classification and online clustering of zero-day malware. J. Comput. Virol. Hacking Tech. 20(4): 579-592 (2024)- [j6]Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia:
Creating valid adversarial examples of malware. J. Comput. Virol. Hacking Tech. 20(4): 607-621 (2024) - [j5]Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia:
A comparison of adversarial malware generators. J. Comput. Virol. Hacking Tech. 20(4): 623-639 (2024) - [j4]Anant Shukla, Martin Jurecek, Mark Stamp:
Social media bot detection using Dropout-GAN. J. Comput. Virol. Hacking Tech. 20(4): 669-680 (2024) - [j3]Jana Berusková, Martin Jurecek, Olha Jurecková:
Reducing overdefined systems of polynomial equations derived from small scale variants of the AES via data mining methods. J. Comput. Virol. Hacking Tech. 20(4): 885-900 (2024) - [i10]Olha Jurecková, Martin Jurecek, Mark Stamp:
Online Clustering of Known and Emerging Malware Families. CoRR abs/2405.03298 (2024) - [i9]Jana Berusková, Martin Jurecek, Olha Jurecková:
Reducing Overdefined Systems of Polynomial Equations Derived from Small Scale Variants of the AES via Data Mining Methods. IACR Cryptol. ePrint Arch. 2024: 809 (2024) - 2023
- [c7]Matous Kozák, Martin Jurecek:
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate. SECRYPT 2023: 778-786 - [i8]Matous Kozák, Martin Jurecek:
Combining Generators of Adversarial Malware Examples to Increase Evasion Rate. CoRR abs/2304.07360 (2023) - [i7]Olha Jurecková, Martin Jurecek, Róbert Lórencz:
Classification and Online Clustering of Zero-Day Malware. CoRR abs/2305.00605 (2023) - [i6]Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia:
Creating Valid Adversarial Examples of Malware. CoRR abs/2306.13587 (2023) - [i5]Atharva Sharma, Martin Jurecek, Mark Stamp:
Keystroke Dynamics for User Identification. CoRR abs/2307.05529 (2023) - [i4]Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp:
A Comparison of Adversarial Learning Techniques for Malware Detection. CoRR abs/2308.09958 (2023) - [i3]Anant Shukla, Martin Jurecek, Mark Stamp:
Social Media Bot Detection using Dropout-GAN. CoRR abs/2311.05079 (2023) - 2022
- [c6]Martin Jurecek, Olha Jurecková:
Parallel Instance Filtering for Malware Detection. SEAA 2022: 13-20 - [c5]Marek Bielik, Martin Jurecek, Olha Jurecková, Róbert Lórencz:
Yet Another Algebraic Cryptanalysis of Small Scale Variants of AES. SECRYPT 2022: 415-427 - [i2]Martin Jurecek, Olha Jurecková:
Parallel Instance Filtering for Malware Detection. CoRR abs/2206.13889 (2022) - [i1]Marek Bielik, Martin Jurecek, Olha Jurecková, Róbert Lórencz:
Yet Another Algebraic Cryptanalysis of Small Scale Variants of AES. IACR Cryptol. ePrint Arch. 2022: 695 (2022) - 2021
- [j2]Martin Jurecek, Róbert Lórencz:
Application of Distance Metric Learning to Automated Malware Detection. IEEE Access 9: 96151-96165 (2021) - [c4]Martin Jurecek, Matous Kozák:
Representation of PE Files using LSTM Networks. ICISSP 2021: 516-525 - [c3]Martin Jurecek, Olha Jurecková, Róbert Lórencz:
Improving Classification of Malware Families using Learning a Distance Metric. ICISSP 2021: 643-652 - 2020
- [c2]Martin Jurecek, Róbert Lórencz:
Distance Metric Learning using Particle Swarm Optimization to Improve Static Malware Detection. ICISSP 2020: 725-732
2010 – 2019
- 2019
- [c1]Martin Jurecek, Jirí Bucek, Róbert Lórencz:
Side-Channel Attack on the A5/1 Stream Cipher. DSD 2019: 633-638 - 2018
- [j1]Martin Jurecek, Róbert Lórencz:
Malware Detection Using a Heterogeneous Distance Function. Comput. Informatics 37(3): 759-780 (2018)
Coauthor Index
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