If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where M. Krcek is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • The More You Know: Improving Laser Fault Injection with Prior Knowledge

    Krcek, M., Ordas, T., Fronte, D. & Picek, S., 2022, Proceedings of the 2022 Workshop on Fault Detection and Tolerance in Cryptography (FDTC). Trinh, L. (ed.). Piscataway: IEEE , p. 18-29 12 p.

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • What Do You See? Transforming Fault Injection Target Characterizations

    Krček, M., 2022, Security, Privacy, and Applied Cryptography Engineering - 12th International Conference, SPACE 2022, Proceedings. Batina, L., Picek, S. & Mondal, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 165-184 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13783 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

  • On the Importance of Initial Solutions Selection in Fault Injection

    Krcek, M., Fronte, D. & Picek, S., 2021, 2021 Workshop on Fault Detection and Tolerance in Cryptography (FDTC): Proceedings. O’Dell, M. (ed.). Piscataway: IEEE , p. 1-12 12 p. 9565588

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    Open Access
    File
    41 Downloads (Pure)
  • A comparison of weight initializers in deep learning-based side-channel analysis

    Li, H., Krček, M. & Perin, G., 2020, Applied Cryptography and Network Security Workshops - ACNS 2020 Satellite Workshops, AIBlock, AIHWS, AIoTS, Cloud S and P, SCI, SecMT, and SiMLA, Proceedings. Zhou, J., Ahmed, C. M., Conti, M., Losiouk, E., Au, M. H., Batina, L., Li, Z., Lin, J., Luo, B., Majumdar, S., Meng, W., Ochoa, M., Picek, S., Portokalidis, G., Wang, C. & Zhang, K. (eds.). Springer Science+Business Media, p. 126-143 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12418 LNCS).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    9 Citations (Scopus)
  • Learning From A Big Brother: Mimicking Neural Networks in Profiled Side-channel Analysis

    van der Valk, D., Krcek, M., Picek, S. & Bhasin, S., 2020, 2020 57th ACM/IEEE Design Automation Conference, DAC 2020. Piscataway: IEEE , p. 1-6 6 p. 9218520. (Proceedings - Design Automation Conference; vol. 2020-July).

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    4 Citations (Scopus)