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Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides54m◆Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation54m◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States54m◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation54m◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model54m◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents54m◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems54m◆Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability54m◆Learnable Splines for Unstructured Neural Operators54m◆Functional Welfare for AI Safety54m◆Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference54m◆Harness-Delta Attribution: Dissecting Gains From Harness Evolution54m◆Testing the Planning Claims of LLM-Based Agents against Formal Semantics54m◆Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks54m◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds54m◆Repairing LLM-Generated Specifications with Deterministic Diagnosis54m◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier54m◆From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents54m◆Not All Graphs Are Maps: A Task-Agnostic Exploration Framework for Mobile GUI Navigation54m◆FlexUMM: Flexible Representation Learning for Unified Multimodal Models54m◆Structured Authority Injection: Persistent Human Control for LLM Agents via Typed MCP Overrides54m◆Rethinking User Encoders: Routing Diffusion States for Scenario-Adaptive User Representation54m◆From Events to Reasoning: Hierarchical Rule Composition over Explicit States54m◆ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation54m◆Sensitivity Analysis of Decision Rules in an Agent-Based Agro-Ecological Model54m◆PRIME: Towards Verifiable Evidence-Grounded Reasoning in LLM Agents54m◆From Natural Language Intent to Executable Control: Hierarchical Feedback-Guided LLM Planning for Multi-component Cyber-Physical Systems54m◆Null Controls Are Necessary but Not Sufficient: Evaluating Acceptance Guards for Scientific Discovery and Interpretability54m◆Learnable Splines for Unstructured Neural Operators54m◆Functional Welfare for AI Safety54m◆Author-in-the-loop Agentic Reproducibility Auditing for a Machine Learning Conference54m◆Harness-Delta Attribution: Dissecting Gains From Harness Evolution54m◆Testing the Planning Claims of LLM-Based Agents against Formal Semantics54m◆Are Large Reasoning Models Good Everyday Reasoners? A Comparison with Non-Reasoning Models on Logical Reasoning Tasks54m◆FRACTAL: A Self-Similar Multi-Agent Orchestration Architecture with Formal Communication, Convergence, and Depth Bounds54m◆Repairing LLM-Generated Specifications with Deterministic Diagnosis54m◆At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier54m◆From Relevant Memories to Sufficient Evidence: Rethinking Memory Utilization in LLM Agents54m◆Not All Graphs Are Maps: A Task-Agnostic Exploration Framework for Mobile GUI Navigation54m◆FlexUMM: Flexible Representation Learning for Unified Multimodal Models54m◆
News/A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders
arxiv
PublishedOctober 3, 2026 at 4:00 AM
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A Hybrid Approach to Malware Detection: Integrating Few-Shot Model-Agnostic Meta-Learning with Autoencoders

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arXiv:2610.01949v1 Announce Type: cross Abstract: Ransomware has emerged as a major cybersecurity threat, with incidents increasing in frequency and impact across critical sectors. These attacks are typically launched through phishing emails, malicious downloads, or exploitation of software vulnerab

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