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Towards a Practical Defense Against Adversarial Attacks on Deep Learning-Based Malware Detectors via Randomized Smoothing.
Daniel Gibert
Giulio Zizzo
Quan Le
Published in:
ESORICS Workshops (2) (2023)
Keyphrases
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deep learning
unsupervised learning
detect malicious
unsupervised feature learning
machine learning
ddos attacks
object detection
malicious code
detecting malicious
weakly supervised
deep architectures
computer vision
object recognition
feature space
intrusion detection
mental models