%0 Conference Paper %1 conf/IEEEares/BhusalSSVCRR23 %A Bhusal, Dipkamal %A Shin, Rosalyn %A Shewale, Ajay Ashok %A Veerabhadran, Monish Kumar Manikya %A Clifford, Michael %A Rampazzi, Sara %A Rastogi, Nidhi %B ARES %D 2023 %I ACM %K dblp %P 35:1-35:12 %T SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability. %U http://dblp.uni-trier.de/db/conf/IEEEares/ares2023.html#BhusalSSVCRR23

@inproceedings{conf/IEEEares/BhusalSSVCRR23, added-at = {2023-08-18T00:00:00.000+0200}, author = {Bhusal, Dipkamal and Shin, Rosalyn and Shewale, Ajay Ashok and Veerabhadran, Monish Kumar Manikya and Clifford, Michael and Rampazzi, Sara and Rastogi, Nidhi}, biburl = {https://www.bibsonomy.org/bibtex/2db6c88e74a26d27da4a9ad4273a0d401/dblp}, booktitle = {ARES}, crossref = {conf/IEEEares/2023}, ee = {https://doi.org/10.1145/3600160.3600193}, interhash = {0eac4143bfd5887ca402c407491503f0}, intrahash = {db6c88e74a26d27da4a9ad4273a0d401}, keywords = {dblp}, pages = {35:1-35:12}, publisher = {ACM}, timestamp = {2024-04-09T13:33:11.000+0200}, title = {SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability.}, url = {http://dblp.uni-trier.de/db/conf/IEEEares/ares2023.html#BhusalSSVCRR23}, year = 2023 }