Výsledky vyhledávání - "Charles Smutz"

Sage Advice? The Impacts of Explanations for Machine Learning Models on Human Decision-Making in Spam Detection

Autor: Charles Smutz, Mallory C. Stites, Michael R. Smith, Megan Nyre-Yu, Blake Moss

Publikováno v: Artificial Intelligence in HCI ISBN: 9783030777715
HCI (36)

The impact of machine learning (ML) explanations and different attributes of explanations on human performance was investigated in a simulated spam detection task. Participants decided whether the metadata presented about an email indicated that it w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f89a2790f13ecc1d42656f6aa3906ea3
https://doi.org/10.1007/978-3-030-77772-2_18

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When a Tree Falls: Using Diversity in Ensemble Classifiers to Identify Evasion in Malware Detectors

Autor: Charles Smutz, Angelos Stavrou

Publikováno v: NDSS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f137272d56abee9acf4be1c17f223c8b
https://doi.org/10.14722/ndss.2016.23078

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Malicious PDF detection using metadata and structural features

Autor: Charles Smutz, Angelos Stavrou

Publikováno v: ACSAC

Owed to their versatile functionality and widespread adoption, PDF documents have become a popular avenue for user exploitation ranging from large-scale phishing attacks to targeted attacks. In this paper, we present a framework for robust detection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::abf29fa80f4cf9a0532a5f1f6bacefe8
https://doi.org/10.1145/2420950.2420987

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Akademický článek

Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors Using Machine Learning.

Autor: Yuan, Ying, Apruzzese, Giovanni, Conti, Mauro

Publikováno v: Digital Threats: Research & Practice; Jun2024, Vol. 5 Issue 2, p1-51, 51p

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Akademický článek

Arms Race in Adversarial Malware Detection: A Survey.

Autor: DEQIANG LI¹ lideqiang@njust.edu.cn, QIANMU LI¹ qianmu@njust.edu.cn, YANFANG (FANNY) YE² yye7@nd.edu, SHOUHUAI XU³ sxu@uccs.edu

Publikováno v: ACM Computing Surveys. Jan2023, Vol. 55 Issue 1, p1-35. 35p.

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Akademický článek

Arms Race in Adversarial Malware Detection: A Survey.

Autor: DEQIANG LI¹ lideqiang@njust.edu.cn, QIANMU LI¹ qianmu@njust.edu.cn, YANFANG (FANNY) YE¹ yye7@nd.edu, SHOUHUAI XU¹ sxu@uccs.edu

Publikováno v: ACM Computing Surveys. Jan2022, Vol. 54 Issue 1, p1-35. 35p. 6 Diagrams, 4 Charts.

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Akademický článek

Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks.

Autor: MAIORCA, DAVIDE¹ davide.maiorca@unica.it, BIGGIO, BATTISTA² biggio@diee.unica.it, GIACINTO, GIORGIO² giacinto@unica.it

Publikováno v: ACM Computing Surveys. Jul2020, Vol. 52 Issue 4, p1-36. 36p.

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