April 13, 2022, 1:10 a.m. | Niall McLaughlin

cs.CV updates on arXiv.org arxiv.org

We propose the Malceiver, a hierarchical Perceiver model for Android malware
detection that makes use of multi-modal features. The primary inputs are the
opcode sequence and the requested permissions of a given Android APK file. To
reach a malware classification decision the model combines hierarchical
features extracted from the opcode sequence together with the requested
permissions. The model's architecture is based on the Perceiver/PerceiverIO
which allows for very long opcode sequences to be processed efficiently. Our
proposed model can be …

android arxiv detection features hierarchical perceiver

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US