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Malware Analysis

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Showing 26–50 of 89 papers

TitleStatusHype
A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code AnalysisCode0
Fuzzy Hashing as Perturbation-Consistent Adversarial Kernel Embedding—0
GenTAL: Generative Denoising Skip-gram Transformer for Unsupervised Binary Code Similarity Detection—0
From Malware Samples to Fractal Images: A New Paradigm for Classification. (Version 2.0, Previous version paper name: Have you ever seen malware?)—0
Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code—0
LAMD: Context-driven Android Malware Detection and Classification with LLMs—0
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering—0
Large Language Models for Cyber Security: A Systematic Literature Review—0
Learning Malware Representation based on Execution Sequences—0
Leveraging Artificial Intelligence on Binary Code Comprehension—0
Maat: Automatically Analyzing VirusTotal for Accurate Labeling and Effective Malware Detection—0
MAIL: Malware Analysis Intermediate Language—0
Malware analysis assisted by AI with R2AI—0
Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability—0
Malware Analysis with Symbolic Execution and Graph Kernel—0
Malware Detection using Artificial Bee Colony Algorithm—0
Malware Detection using Machine Learning and Deep Learning—0
ML-based IoT Malware Detection Under Adversarial Settings: A Systematic Evaluation—0
NtMalDetect: A Machine Learning Approach to Malware Detection Using Native API System Calls—0
On Benchmarking Code LLMs for Android Malware Analysis—0
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors—0
On the Lack of Robustness of Binary Function Similarity Systems—0
Ontology-driven Knowledge Graph for Android Malware—0
PageRank in Malware Categorization—0
Recent Advances in Malware Detection: Graph Learning and Explainability—0
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