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This content will become publicly available on June 4, 2026

Title: Poisoning Attacks against Quantile L1 Regression in CPS Anomaly Detection Frameworks
Award ID(s):
2320951 2030611
PAR ID:
10630123
Author(s) / Creator(s):
; ;
Publisher / Repository:
ACM
Date Published:
ISBN:
9798400715013
Page Range / eLocation ID:
38 to 48
Subject(s) / Keyword(s):
adversarial machine learning data poisoning attacks regression attack metrics cyber-physical system
Format(s):
Medium: X
Location:
Pittsburgh PA USA
Sponsoring Org:
National Science Foundation
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