Sanitizer Identification

Sanitizer Identification is a static analysis technique that belongs to the class of vulnerability mitigation methods, specifically distinguished by its ability to detect and classify code constructs that neutralize or transform potentially malicious inputs into safe values, thereby preventing exploitation of software vulnerabilities.

6

Publications

332

Citations

28

Authors

12

Institutions

Publications per year

2017–2026

4

Authors

28

  1. MF
    Michael Franz

    University of California, Irvine, United States

    1 publications · 137 citations

    1

    h-index

  2. PH
    Pieter Hooimeijer

    Utrecht University, Netherlands

    1 publications · 129 citations

    1

    h-index

  3. NG
    Nirzari Gupta

    University of Alabama at Birmingham, United States

    1 publications · 20 citations

    1

    h-index

  4. MP
    Mathias Payer

    Purdue University West Lafayette, United States

    1 publications · 18 citations

    1

    h-index

  5. SG
    Sneha Gautam

    Karunya University, India

    1 publications · 18 citations

    1

    h-index

1–5 of 28

Venues

  1. Infoscience (Ecole Polytechnique Fédérale de Lausanne)

    Repository · 1 publications · 18 citations

    1

    h-index

  2. Telecommunication Systems

    1 publications · 10 citations

    1

    h-index

  3. Health and Technology

    1 publications · 18 citations

    1

    h-index

  4. Communications Chemistry

    1 publications · 20 citations

    1

    h-index

  5. Applied Intelligence

    1 publications · 10 citations

1–5