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Certified Adversarial Robustness of Machine Learning-based Malware
  Detectors via (De)Randomized Smoothing

Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing

1 May 2024
Daniel Gibert
Luca Demetrio
Giulio Zizzo
Quan Le
Jordi Planes
Battista Biggio
    AAML
ArXivPDFHTML

Papers citing "Certified Adversarial Robustness of Machine Learning-based Malware Detectors via (De)Randomized Smoothing"

2 / 2 papers shown
Title
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
Ahod Alghuried
Ali Alkinoon
Abdulaziz Alghamdi
Soohyeon Choi
Manar Mohaisen
David A. Mohaisen
AAML
30
0
0
24 Apr 2025
Adversarial Attacks against Binary Similarity Systems
Adversarial Attacks against Binary Similarity Systems
Gianluca Capozzi
Daniele Cono DÉlia
Giuseppe Antonio Di Luna
Leonardo Querzoni
AAML
29
0
0
20 Mar 2023
1