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Found 3 papers, 0 papers with code
Transformer-Based Language Models for Software Vulnerability Detection
The large transformer-based language models demonstrate excellent performance in natural language processing.
Peeler: Profiling Kernel-Level Events to Detect Ransomware
Based on those characteristics, we develop Peeler that continuously monitors a target system's kernel events and detects ransomware attacks on the system.
Malware Detection
Cryptography and Security
Decamouflage: A Framework to Detect Image-Scaling Attacks on Convolutional Neural Networks
To corroborate the efficiency of Decamouflage, we have also measured its run-time overhead on a personal PC with an i5 CPU and found that Decamouflage can detect image-scaling attacks in milliseconds.
