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Malware Analysis
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EMBER2024 -- A Benchmark Dataset for Holistic Evaluation of Malware Classifiers
System Calls for Malware Detection and Classification: Methodologies and Applications
Adapting Novelty towards Generating Antigens for Antivirus systems
DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios
Dual Explanations via Subgraph Matching for Malware Detection
Malware analysis assisted by AI with R2AI
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering
Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code
On Benchmarking Code LLMs for Android Malware Analysis
CyberLLMInstruct: A New Dataset for Analysing Safety of Fine-Tuned LLMs Using Cyber Security Data
LAMD: Context-driven Android Malware Detection and Classification with LLMs
Recent Advances in Malware Detection: Graph Learning and Explainability
Exploring Large Language Models for Semantic Analysis and Categorization of Android Malware
On the Lack of Robustness of Binary Function Similarity Systems
Unmasking the Shadows: Pinpoint the Implementations of Anti-Dynamic Analysis Techniques in Malware Using LLM
Is Function Similarity Over-Engineered? Building a Benchmark
Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization
Magika: AI-Powered Content-Type Detection
Revisiting Static Feature-Based Android Malware Detection
Explainable Artificial Intelligence (XAI) for Malware Analysis: A Survey of Techniques, Applications, and Open Challenges
On the Robustness of Malware Detectors to Adversarial Samples
A Lean Transformer Model for Dynamic Malware Analysis and Detection
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response
Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets
Large Language Models for Cyber Security: A Systematic Literature Review
Threat Behavior Textual Search by Attention Graph Isomorphism
On the Effectiveness of Adversarial Samples against Ensemble Learning-based Windows PE Malware Detectors
Smart OMVI: Obfuscated Malware Variant Identification using a novel dataset
Nebula: Self-Attention for Dynamic Malware Analysis
FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis
Survey of Malware Analysis through Control Flow Graph using Machine Learning
Revisiting Deep Learning for Variable Type Recovery
A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis
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