TESSERACT

Framework for fair and sound evaluations of ML classifiers.

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Access

We are hosting TESSERACT code on a private bitbucket repository, under MIT license. To get access to the repository, just send an email with the following information:

We are currently granting access to people from the following institutions (alphabetical order):

Papers

  1. Feargus Pendlebury*, Fabio Pierazzi*, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
    TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time, USENIX Sec 2019
    [To Appear]
  2. Feargus Pendlebury*, Fabio Pierazzi*, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro.
    POSTER: Enabling Fair ML Evaluations for Security, ACM CCS 2018
    [Poster] [PDF] [Poster References]
  3. Feargus Pendlebury*, Fabio Pierazzi*, Roberto Jordaney, Johannes Kinder, Lorenzo Cavallaro
    TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time, arxiv 2018
    [PDF]

People