Mark Stamp

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 18

Top Topics

Malware Detection

Natural Language Processing

Automatic Classification

Top Venues

J. Comput. Virol. Hacking Tech.

Publications

Olha Jurecková, Martin Jurecek, Mark Stamp
Online Clustering of Known and Emerging Malware Families. CoRR (2024)
Ritik Mehta, Olha Jurecková, Mark Stamp
A natural language processing approach to Malware classification. J. Comput. Virol. Hacking Tech. 20 (1) (2024)
Vrinda Malhotra, Katerina Potika, Mark Stamp
A comparison of graph neural networks for malware classification. J. Comput. Virol. Hacking Tech. 20 (1) (2024)
Lei Zhang, Dong Li, Olha Jurecková, Mark Stamp
Steganographic Capacity of Deep Learning Models. CoRR (2023)
Yashna Peerthum, Mark Stamp
An Empirical Analysis of the Shift and Scale Parameters in BatchNorm. CoRR (2023)
Matous Kozák, Martin Jurecek, Mark Stamp, Fabio Di Troia
Creating Valid Adversarial Examples of Malware. CoRR (2023)
Nhien Rust-Nguyen, Shruti Sharma, Mark Stamp
Darknet traffic classification and adversarial attacks using machine learning. Comput. Secur. 127 (2023)
Aparna Sunil Kale, Vinay Pandya, Fabio Di Troia, Mark Stamp
Malware classification with Word2Vec, HMM2Vec, BERT, and ELMo. J. Comput. Virol. Hacking Tech. 19 (1) (2023)
Pavla Louthánová, Matous Kozák, Martin Jurecek, Mark Stamp
A Comparison of Adversarial Learning Techniques for Malware Detection. CoRR (2023)
Vrinda Malhotra, Katerina Potika, Mark Stamp
A Comparison of Graph Neural Networks for Malware Classification. CoRR (2023)
Atharva Sharma, Martin Jurecek, Mark Stamp
Keystroke Dynamics for User Identification. CoRR (2023)
Anant Shukla, Martin Jurecek, Mark Stamp
Social Media Bot Detection using Dropout-GAN. CoRR (2023)
Brooke Dalton, Mark Stamp
Classifying World War II Era Ciphers with Machine Learning. CoRR (2023)
Aditya Raghavan, Fabio Di Troia, Mark Stamp
Hidden Markov Models with Random Restarts vs Boosting for Malware Detection. CoRR (2023)
Ritik Mehta, Olha Jurecková, Mark Stamp
A Natural Language Processing Approach to Malware Classification. CoRR (2023)
Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp
Generative adversarial networks and image-based malware classification. J. Comput. Virol. Hacking Tech. 19 (4) (2023)
Yashna Peerthum, Mark Stamp
An empirical analysis of the shift and scale parameters in BatchNorm. Inf. Sci. 637 (2023)
Anish Singh Shekhawat, Fabio Di Troia, Mark Stamp
Feature Analysis of Encrypted Malicious Traffic. CoRR (2023)