SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning-Reference-Cited by-同舟云学术

SpacePhish: The Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 38th Annual Computer Security Applications Conference
language:
Short-container-title:

Author:

Apruzzese Giovanni¹^ORCID,Conti Mauro²^ORCID,Yuan Ying³^ORCID

Affiliation:

1. Institute of Information Systems, University of Liechtenstein, Liechtenstein

2. Department of Mathematics, University of Padua, Italy and Department of Computer Science, Delft University of Technology, Netherlands

3. Department of Mathematics, University of Padua, Italy

Funder

Hilti

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3564625.3567980

Reference95 articles.

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2. 2022. All Adversarial Examples Papers. https://nicholas.carlini.com/writing/2019/all-adversarial-example-papers.html. 2022. All Adversarial Examples Papers. https://nicholas.carlini.com/writing/2019/all-adversarial-example-papers.html.

3. 2022. Machine Learning Security Evasion Competition. https://mlsec.io/. 2022. Machine Learning Security Evasion Competition. https://mlsec.io/.

4. 2022. PhishTank. https://phishtank.org/. 2022. PhishTank. https://phishtank.org/.

5. 2022. State of the Phish 2022 . Technical Report. ProofPoint . https://www.proofpoint.com/it/resources/threat-reports/state-of-phish 2022. State of the Phish 2022. Technical Report. ProofPoint. https://www.proofpoint.com/it/resources/threat-reports/state-of-phish

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