arXiv AI
Jul 23
CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs
arXiv:2607. 19396v1 Announce Type: new Abstract: Document-based LLM systems often flatten a PDF before guardrails inspect it.
Leveraging Interpretable Tsetlin Machine for PDF Malware Detection
arXiv:2607. 09290v1 Announce Type: cross Abstract: In the digital era, Portable Document Format (PDF) is one of the most widely used file formats for storing and exchanging digital documents due to its platform independence and rich functionality.
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arXiv Machine Learning
Jun 30
A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
arXiv:2606. 30586v1 Announce Type: cross Abstract: Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints.
arXiv AI
Jul 1
AI-Generated PowerShell Malware: An Experimental Framework and Dataset
arXiv:2606. 30819v1 Announce Type: cross Abstract: Generative AI has emerged as a significant cybersecurity threat, with several recent attack campaigns leveraging LLMs to generate code for malicious purposes via scripting languages such as PowerShell.
Hugging Face Trending Papers
Jun 29
A Hybrid Framework For Crypto-Ransomware Detection In Enterprise Shared Storage
Most corporate workplace environments enforce policies and technical controls that limit the storage of sensitive data on client endpoints. Consequently, ransomware operators have evolved variants that expand their attack surface from local systems to network drives and shared storage resources.
arXiv AI
Jun 30
A Multi-task Mixture of Experts Framework for Malware Classification, Packing Detection, and Family Attribution
arXiv:2606. 30572v1 Announce Type: cross Abstract: Malware classification remains a challenging problem due to its inherent heterogeneity, the presence of packed binaries, and the diverse distribution of malware families.
arXiv AI
Jun 3
Large Byte Model: Teaching Language Models About Compiled Code
arXiv:2606. 02834v1 Announce Type: cross Abstract: Malware analysis starts with the raw bytes of an executable program, and tools to "lift" these to higher-level representations, such as assembly, are expensive and subject to error.
arXiv AI
Jun 19
Multi-View Decompilation for LLM-Based Malware Classification
arXiv:2606. 20436v1 Announce Type: cross Abstract: Malware analysts often inspect compiled binaries through decompiled pseudo-C, when source code is unavailable.
arXiv AI
6d ago
Evaluating LLM Generated Detection Rules in Cybersecurity
arXiv:2509. 16749v1 Announce Type: cross Abstract: LLMs are increasingly pervasive in the security environment, with limited measures of their effectiveness, which limits trust and usefulness to security practitioners.
arXiv AI
Jun 8
MalTree: Tracing Malware Evolution from Embeddings at Scale
arXiv:2606. 06570v1 Announce Type: cross Abstract: Malware detection remains largely reactive: machine learning models trained on known samples degrade as threats evolve.
arXiv AI
Jul 31
Guarding Organizations Against Malware Risk: A Novel Graph-Based Malware Detection Method
arXiv:2607. 26634v1 Announce Type: cross Abstract: Organizational digitalization expands cybersecurity risks, making cybersecurity an increasingly important research area in Information Systems (IS).
arXiv AI
Jul 9
Large Language Models (LLMs) and Generative AI in Cybersecurity and Privacy: A Survey of Dual-Use Risks, AI-Generated Malware, Explainability, and Defensive Strategies
arXiv:2607. 06963v1 Announce Type: cross Abstract: Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, Copilot, Stable Diffusion by OpenAI, Anthropic, Google, Meta, Microsoft, Stability AI, respectively, are revolutionizing cybersecurity, enabling both automated defense and sophisticated attacks.
arXiv AI
Jun 3
A Hybrid Approach For Malware Classification Using Secondary Features Fusion
arXiv:2606. 03432v1 Announce Type: cross Abstract: The number of malware (either variant or novel) is rapidly increasing, making malware detection and mitigation a complex problem.