Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective

8 January 2021

Papers citing "Towards a Robust and Trustworthy Machine Learning System Development: An Engineering Perspective"

4 / 4 papers shown

Title
Overcoming Adversarial Attacks for Human-in-the-Loop Applications Ryan McCoppin Marla Kennedy P. Lukyanenko Sean M. Kennedy AAML 20 1 0 09 Jun 2023
SoK: Pragmatic Assessment of Machine Learning for Network Intrusion Detection Giovanni Apruzzese Pavel Laskov J. Schneider 41 24 0 30 Apr 2023
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks Steven Moore Q. V. Liao Hariharan Subramonyam 19 27 0 22 Feb 2023
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges Huaming Chen Muhammad Ali Babar AAML 34 21 0 12 Jan 2022