Concepedia

Machine Learning-based Attribution

Machine Learning-Based Attribution is a formal methodology within the domain of cyber threat analysis that employs machine learning algorithms to identify and classify the origins or actors behind malware instances by distinguishing patterns in behavioral, structural, or contextual digital evidence.

71

Publications

6.2K

Citations

227

Authors

89

Institutions

Publications per year

2017–2026

63

Parents

Publications

71

Axiomatic Attribution for Deep Networks

Mukund Sundararajan, Ankur Taly, Qiqi Yan · arXiv (Cornell University) · 2017 · 2.6K citations · Full text

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Axiomatic Attribution for Deep Networks

Mukund Sundararajan, Ankur Taly, Qiqi Yan · arXiv (Cornell University) · 2017 · 412 citations · Full text

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Towards better understanding of gradient-based attribution methods for Deep Neural Networks

Marco Ancona, Enea Ceolini, Cengiz Öztireli · Repository for Publications and Research Data (ETH Zurich) · 2018 · 386 citations · Full text

, , +10

A machine learning-based FinTech cyber threat attribution framework using high-level indicators of compromise

Umara Noor, Zahid Anwar, Tehmina Amjad et al. · Future Generation Computer Systems · 2019 · 187 citations

, , +12

De-anonymizing programmers via code stylometry

Aylin Caliskan-Islam, Richard Harang, Andy Liu et al. · USENIX Security Symposium · 2015 · 157 citations

, , +15

1–5 of 71

Authors

227

  1. MA
    Marco Ancona

    O2 Czech Republic (Czechia), Czechia

    3 publications · 529 citations

    3

    h-index

  2. SJ
    Somesh Jha

    University of Wisconsin–Madison, United States

    3 publications · 80 citations

    3

    h-index

  3. KR
    Konrad Rieck

    Technische Universität Braunschweig, Germany

    2 publications · 150 citations

    3

    h-index

  4. MS
    Mukund Sundararajan

    Google (United States), United States

    3 publications · 3.1K citations

    3

    h-index

  5. CÖ
    Cengiz Öztireli

    ETH Zurich, Switzerland

    3 publications · 529 citations

    3

    h-index

1–5 of 227

Institutions

89

  1. Google (United States)

    Mountain View, United States

    5 h-index

    11 publications

    9.4K citations

  2. Technische Universität Braunschweig

    Braunschweig, Germany

    3 h-index

    4 publications

    232 citations

  3. The University of Texas at San Antonio

    San Antonio, United States

    3 h-index

    4 publications

    356 citations

  4. University of Central Florida

    Orlando, United States

    3 h-index

    9 publications

    433 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    3 h-index

    6 publications

    174 citations

  6. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    13 publications

    549 citations

  7. Princeton University

    Princeton, United States

    2 h-index

    3 publications

    375 citations

  8. Iowa State University

    Ames, United States

    2 h-index

    10 publications

    237 citations

1–8 of 89

Venues

  1. arXiv (Cornell University)

    Repository · 18 publications · 3.6K citations

    15

    h-index

  2. Nature Communications

    2 publications · 46 citations

    2

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 2 publications · 102 citations

    2

    h-index

  4. Neural Information Processing Systems

    Conference · 2 publications · 53 citations

    2

    h-index

  5. 1

    h-index

1–5