SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability-Reference-Cited by-同舟云学术

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability

Published:2023-08-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 18th International Conference on Availability, Reliability and Security
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Author:

Bhusal Dipkamal¹^ORCID,Shin Rosalyn²^ORCID,Shewale Ajay Ashok¹^ORCID,Veerabhadran Monish Kumar Manikya¹^ORCID,Clifford Michael³^ORCID,Rampazzi Sara⁴^ORCID,Rastogi Nidhi¹^ORCID

Affiliation:

1. Department of Software Engineering, Rochester Institute of Technology, USA

2. Independent Researcher, Republic of Korea

3. Toyota InfoTech Labs, Toyota Motor North America, USA

4. Department of Computer and Information Science and Engineering, University of Florida, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3600160.3600193

Reference97 articles.

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4. Chirag Agarwal , Nari Johnson , Martin Pawelczyk , Satyapriya Krishna , Eshika Saxena , Marinka Zitnik , and Himabindu Lakkaraju . 2022 . Rethinking Stability for Attribution-based Explanations. In ICLR 2022 Workshop Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data. Chirag Agarwal, Nari Johnson, Martin Pawelczyk, Satyapriya Krishna, Eshika Saxena, Marinka Zitnik, and Himabindu Lakkaraju. 2022. Rethinking Stability for Attribution-based Explanations. In ICLR 2022 Workshop Privacy, Accountability, Interpretability, Robustness, Reasoning on Structured Data.

5. Bushra A Alahmadi , Louise Axon , and Ivan Martinovic . 2022 . 99% False Positives: A Qualitative Study of SOC Analysts’ Perspectives on Security Alarms . In Proceedings of the 31st USENIX Security , Boston, MA, USA. 10–12. Bushra A Alahmadi, Louise Axon, and Ivan Martinovic. 2022. 99% False Positives: A Qualitative Study of SOC Analysts’ Perspectives on Security Alarms. In Proceedings of the 31st USENIX Security, Boston, MA, USA. 10–12.

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