·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Congress’s favorite AI tool? ChatGPT57m◆China’s Alibaba takes another swipe at America’s AI supremacy6h◆A Marc Benioff-backed startup thinks AI can solve the AI deployment problem7h◆Here’s why AI agents lie and cheat to reach their goals9h◆Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review13h◆ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding13h◆Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery13h◆Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember13h◆AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction13h◆DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat13h◆ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction13h◆Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks13h◆Topology-Aware Data Movement for Disaggregated GPU Inference13h◆The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models13h◆Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning13h◆WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization13h◆A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem13h◆DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing13h◆SCMA: Structure-Conditioned and Metal-Aware Flow Matching for CT Metal Artifact Reduction13h◆WaiT for the Signal: Simple Frequency-Aware Flow-Matching13h◆Congress’s favorite AI tool? ChatGPT57m◆China’s Alibaba takes another swipe at America’s AI supremacy6h◆A Marc Benioff-backed startup thinks AI can solve the AI deployment problem7h◆Here’s why AI agents lie and cheat to reach their goals9h◆Can AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review13h◆ViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding13h◆Library Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery13h◆Self-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember13h◆AMTFV: Agentic Mathematical Tool-Flow Verification for LLM Self-Correction13h◆DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat13h◆ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction13h◆Scaffolding Critical Engagement with GenAI: Transforming Ethnic Minority Preparatory Students' Collaborative Discourse in Prompt Engineering Tasks13h◆Topology-Aware Data Movement for Disaggregated GPU Inference13h◆The Asymmetric Effects of Knowledge Distillation on Bias in Small Language Models13h◆Predicting Steel Fatigue Life from Micrographs Using Physics-Informed Deep Learning13h◆WitCert: Sound Runtime Risk Observability and Gating for KV-Cache Quantization13h◆A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem13h◆DragonCrawl: A Generative, Intent-Based Framework for Scalable Mobile End-to-End Testing13h◆SCMA: Structure-Conditioned and Metal-Aware Flow Matching for CT Metal Artifact Reduction13h◆WaiT for the Signal: Simple Frequency-Aware Flow-Matching13h◆
News/Trident: Improving Malware Detection with LLMs and Behavioral Features
arxiv
PublishedMay 4, 2026 at 4:00 AM
—neutral

Trident: Improving Malware Detection with LLMs and Behavioral Features

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.00297v1 Announce Type: cross Abstract: Traditionally, machine learning methods for PE malware detection have relied on static features like byte histograms, string information, and PE header contents. One barrier to incorporating dynamic analysis features has been the semi-structured natu

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivCan AI Evaluate AI Scientists? A Benchmarking Study of Autonomous Research Generation Systems Using Automated Multi-Model Review13harxivViSAGE: Constructing Self-Correcting Memories for Long-Form Video Understanding13harxivLibrary Reachability in LSR-Synth: How Anti-Memorization Design Changes the Measurement of Symbolic Discovery13harxivSelf-Play Meets Skill Evolution: Self-Evolving Search Agents that Pose, Solve, and Remember13h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews