Artikler med krav om offentlig adgang - Shahryar BakiFå flere oplysninger
Tilgængelige et sted: 11
SoK: a comprehensive reexamination of phishing research from the security perspective
A Das, S Baki, A El Aassal, R Verma, A Dunbar
IEEE Communications Surveys & Tutorials 22 (1), 671-708, 2019
Krav: US National Science Foundation, US Department of Defense
An in-depth benchmarking and evaluation of phishing detection research for security needs
A El Aassal, S Baki, A Das, RM Verma
Ieee Access 8, 22170-22192, 2020
Krav: US National Science Foundation, US Department of Defense
Scaling and effectiveness of email masquerade attacks: Exploiting natural language generation
S Baki, R Verma, A Mukherjee, O Gnawali
Proceedings of the 2017 ACM on Asia conference on computer and …, 2017
Krav: US National Science Foundation
Sixteen years of phishing user studies: What have we learned?
S Baki, RM Verma
IEEE Transactions on Dependable and Secure Computing 20 (2), 1200-1212, 2022
Krav: US National Science Foundation, US Department of Defense
Diverse datasets and a customizable benchmarking framework for phishing
V Zeng, S Baki, AE Aassal, R Verma, LFT De Moraes, A Das
Proceedings of the Sixth International Workshop on Security and Privacy …, 2020
Krav: US National Science Foundation, US Department of Defense
Anti-Phishing Pilot at ACM IWSPA 2018 Evaluating Performance with New Metrics for Unbalanced Datasets
A El Aassal, L Moraes, S Baki, A Das, R Verma
Proceedings of the 1st AntiPhishing Shared Pilot at 4th ACM International …, 2018
Krav: US National Science Foundation, US Department of Defense
University of Houston at CL-SciSumm 2016: SVMs with tree kernels and Sentence Similarity
L Moraes, S Baki, R Verma, D Lee
proceedings of the joint workshop on bibliometric-enhanced information …, 2016
Krav: US National Science Foundation
PhishBench 2.0: a versatile and extendable benchmarking framework for phishing
V Zeng, X Zhou, S Baki, RM Verma
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
Krav: US National Science Foundation, US Department of Defense
Scam augmentation and customization: Identifying vulnerable users and arming defenders
S Baki, RM Verma, O Gnawali
Proceedings of the 15th ACM Asia Conference on Computer and Communications …, 2020
Krav: US National Science Foundation, US Department of Defense
Identifying reference spans: topic modeling and word embeddings help IR
L Moraes, S Baki, R Verma, D Lee
International Journal on Digital Libraries 19, 191-202, 2018
Krav: US National Science Foundation
Mining the Web for Collocations: IR Models of Term Associations
R Verma, V Vuppuluri, A Nguyen, A Mukherjee, G Mammar, S Baki, ...
International Conference on Intelligent Text Processing and Computational …, 2016
Krav: US National Science Foundation
Oplysninger om publikation og økonomisk støtte registreres automatisk af et computerprogram