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ESL-former: Event Sparse Linear Transformer for FPGA-Accelerated Malware Detection
Transformer based intrusion detection has shown strong potential for identifying unknown malware variants, but its deployment on resource constrained edge devices remains difficult due to the high computational and memory cost of self attention. This paper presents an event sparse Linear Transformer
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