5 papers
Multimodal Pretraining for Generalizable EEG Representation Learning
Targol Bakhtiarvand, Jugal Kalita, Adham Atyabi
Electroencephalography (EEG) models used for epilepsy are often limited to specific datasets and tasks. This limited approach can make it challenging to apply these models across d…
AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification
Parthajit Borah, Sakshi Singh, D. K. Bhattacharyya +1
As malware illustrates a complex structure and behavior, detection of these has been a significant challenge in the domain of cybersecurity along with related services in daily lif…
ZoDIAC: Zoneout Dropout Injection Attention Calculation
Zanyar Zohourianshahzadi, Terrance E. Boult, Jugal K. Kalita
In the past few years the transformer model has been utilized for a variety of tasks such as image captioning, image classification natural language generation, and natural languag…
A Survey of Malware Detection Using Deep Learning
Ahmed Bensaoud, Jugal Kalita, Mahmoud Bensaoud
The problem of malicious software (malware) detection and classification is a complex task, and there is no perfect approach. There is still a lot of work to be done. Unlike most o…
Deep Multi-Task Learning for Malware Image Classification
Ahmed Bensaoud, Jugal Kalita
Malicious software is a pernicious global problem. A novel multi-task learning framework is proposed in this paper for malware image classification for accurate and fast malware de…