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Katerina Potika
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Publications
- 2024
- [j15]Vrinda Malhotra, Katerina Potika, Mark Stamp:
A comparison of graph neural networks for malware classification. J. Comput. Virol. Hacking Tech. 20(1): 53-69 (2024) - 2023
- [c31]Thomas H. Austin, Katerina Potika, Chris Pollett:
Autonomous Lending Organization on Ethereum with Credit Scoring. SVCC 2023: 1-8 - [i2]Vrinda Malhotra, Katerina Potika, Mark Stamp:
A Comparison of Graph Neural Networks for Malware Classification. CoRR abs/2303.12812 (2023) - 2022
- [j12]Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz, Prashant Pardeshi:
TontineCoin: Survivor-based Proof-of-Stake. Peer-to-Peer Netw. Appl. 15(2): 988-1007 (2022) - [i1]Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional Neural Networks for Image Spam Detection. CoRR abs/2204.01710 (2022) - 2020
- [j10]Tazmina Sharmin, Fabio Di Troia, Katerina Potika, Mark Stamp:
Convolutional neural networks for image spam detection. Inf. Secur. J. A Glob. Perspect. 29(3): 103-117 (2020) - [c24]Neeraj Chavan, Katerina Potika:
Higher-order Link Prediction Using Triangle Embeddings. IEEE BigData 2020: 4535-4544 - [c23]Priyanka Kasbekar, Katerina Potika, Chris Pollett:
Find me if You Can: Aligning Users in Different Social Networks. BigDataService 2020: 46-53 - [c21]Chris Pollett, Thomas H. Austin, Katerina Potika, Justin Rietz:
TontineCoin: Murder-Based Proof-of-Stake. DAPPS 2020: 82-87 - 2019
- [j8]Supraja Suresh, Fabio Di Troia, Katerina Potika, Mark Stamp:
An analysis of Android adware. J. Comput. Virol. Hacking Tech. 15(3): 147-160 (2019) - 2018
- [c15]Aneri Chavda, Katerina Potika, Fabio Di Troia, Mark Stamp:
Support Vector Machines for Image Spam Analysis. ICETE (1) 2018: 597-607 - [p1]Dhiviya Dhanasekar, Fabio Di Troia, Katerina Potika, Mark Stamp:
Detecting Encrypted and Polymorphic Malware Using Hidden Markov Models. Guide to Vulnerability Analysis for Computer Networks and Systems 2018: 281-299
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last updated on 2024-03-19 02:09 CET by the dblp team
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