ResearchTrend.AI
Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations

Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations

Davide Coppola
Hwee Kuan Lee
    AAML
ArXivPDFHTML

Papers citing "Investigating and unmasking feature-level vulnerabilities of CNNs to adversarial perturbations"

1 / 1 papers shown
Title
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Exploring Architectural Ingredients of Adversarially Robust Deep Neural Networks
Hanxun Huang
Yisen Wang
S. Erfani
Quanquan Gu
James Bailey
Xingjun Ma
AAML
TPM
46
100
0
07 Oct 2021