MLGuard: Defend Your Machine Learning Model!

Wong, Sheng Fung; Barnett, Scott; Rivera-Villicana, J; Simmons, A; Abdelkader, H; Schneider, Jean-Guy; Vasa, Rajesh

MLGuard: Defend Your Machine Learning Model!

conference contribution

posted on 2024-06-14, 01:35 authored by Sheng Fung Wong, Scott BarnettScott Barnett, J Rivera-Villicana, A Simmons, H Abdelkader, Jean-Guy SchneiderJean-Guy Schneider, Rajesh VasaRajesh Vasa

MLGuard: Defend Your Machine Learning Model!

History

Pagination

10-13

Location

San Francisco, California

Start date

2023-12-03

End date

2023-12-09

ISBN-13

9798400703799

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

SE4SafeML 2023 : Proceedings of the 1st International Workshop on Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components, Co-located with: ESEC/FSE 2023

Event

Dependability and Trustworthiness of Safety-Critical Systems with Machine Learned Components. Conference (2023 : San Francisco, California)

Publisher

ACM Digital Library

Place of publication

New York, NY.

Publication URL

http://doi.org/10.1145/3617574.3617859

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MLGuard: Defend Your Machine Learning Model!

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