Probabilistic Robustness in Deep Learning: A Concise Yet Comprehensive Guide

Adversarial Example Detection and Mitigation Using Machine Learning 2026 Book chapter

View at publisher
Authors: Xingyu Zhao
DOI: 10.1007/978-3-031-99447-0_15
Cited by: 2
References: 35

Fields of Study & Subjects

Adversarial Robustness in Machine Learning Safety Systems Engineering in Autonomy Smart Grid Security and Resilience

Publication details

Journal / source
Adversarial Example Detection and Mitigation Using Machine Learning
Publisher
Springer Nature Switzerland
Pages
209–222
Publication date
1 January 2026
Language
EN
Document type
Book chapter