Ph.D. student presents on deep learning models

Dipkamal Bhusal, a computing and information sciences Ph.D. student, presented “SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability” at the 18th International Conference on Availability, Reliability, and Security (ARES 2023), held Aug. 29-Sept. 1 in Benevento, Italy. His paper provides a comprehensive picture of explainable methods for deep learning models and demonstrates their efficacy using quantitative and qualitative analysis.