2022 (v1)
Publication
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Uploaded on: February 13, 2024
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2023 (v1)Publication
Machine-learning phishing webpage detectors (ML-PWD) have been shown to suffer from adversarial manipulations of the HTML code of the input webpage. Nevertheless, the attacks recently proposed have demonstrated limited effectiveness due to their lack of optimizing the usage of the adopted manipulations, and they focus solely on specific...
Uploaded on: July 3, 2024 -
2024 (v1)Publication
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Uploaded on: July 3, 2024 -
2019 (v1)Publication
Recent work has shown that deep-learning algorithms for malware detection are also susceptible to adversarial examples, i.e., carefully-crafted perturbations to input malware that enable misleading classification. Although this has questioned their suitability for this task, it is not yet clear why such algorithms are easily fooled also in this...
Uploaded on: April 14, 2023 -
2023 (v1)Publication
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Uploaded on: February 4, 2024