WebThe Malceiver, a hierarchical Perceiver model for Android malware detection that makes use of multi-modal features, outperforms a conventional CNN architecture for opcode sequence based malware detection and opens new avenues for the use of Transformer-style networks in malware research. We propose the Malceiver, a hierarchical … WebTo address this issue, a DeepMind research team has proposed Hierarchical Perceiver (HiP), an upgraded model that retains the original Perceiver’s ability to process arbitrary …

perceiver paper - The AI Search Engine You Control AI Chat

Web30 de jul. de 2024 · Hierarchical Perceiver retains the ability to process arbitrary modalities, but now at higherresolution and without any specialized preprocessing, improving over flat Perceivers in both efficiency and accuracy on the ImageNet, Audioset and PASCAL VOC datasets. Expand. 8. Web12 de abr. de 2024 · To address the shortcomings of existing methods, we propose an efficient multi-modal and hierarchical transformer-based model for Android malware … rdtx annual report

Malceiver: Perceiver with Hierarchical and Multi-modal Features …

Web12 de abr. de 2024 · The Malceiver, a hierarchical Perceiver model for Android malware detection that makes use of multi-modal features, outperforms a conventional CNN architecture for opcode sequence based malware detection and opens new avenues for the use of Transformer-style networks in malware research. We propose the Malceiver, a … Web1 de set. de 2024 · Hierarchical Perceiver also learns the positional encodings with a separate training step with a reconstruction loss. Multilingual Image-Text Classification. A lot of room for research left our new 13-lingual dataset GLAMI-1M. rdtsc across cores