Package Hallucination Attacks on Coding Agents through Prompt Injection in Rule Files
Modern agentic coding frameworks increasingly rely on community-shared rule files (e.g., AGENTS.md or .cursorrules) to g
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Modern web agents built on large vision-language models process webpages, select relevant UI elements, and translate mod
Autonomous and agentic clients can distribute reconnaissance across many identities so that each request remains valid,
Public leaderboards for AI models are read continuously, and attackers can see every published standing. Vote rigging, s
Standard safety evaluations of large language models assess harmful requests written in canonical plain text, while mode
Modern language model systems operate autonomously over increasingly long contexts containing untrusted text and images.
Detection engineers must translate threat reports, forensic observations, and hunt hypotheses into precise, testable rul
As small language models (SLMs) are increasingly deployed on resource-constrained and on-device platforms, including as
LLM-based agents are entering decision-support roles in defence staff work, where the obligations they must respect are
Speculative decoding accelerates inference for a large language model (LLM), referred to as the \emph{target model}, by
Behavioral watermarking embeds an owner identifier in an LLM agent's high-level action choices, giving provenance withou
Finding severity is the main driver of how security teams prioritize remediation. For third-party cloud security finding
Retrieval-Augmented Generation (RAG) systems are vulnerable to prompt-injection attacks embedded in retrieved content. W
Large Language Models have emerged as promising tools for software vulnerability analysis, but their effectiveness depen
Protein Generative Models (PGMs) have revolutionized structural biology by enabling the design of complex 3D protein str
Mathematical problem solving often requires deterministic computational steps that agents delegate to tools and implicit
Language model agents are increasingly deployed to automate everyday digital chores from managing emails and social medi
LLM-based multi-agent systems (MAS) engage tools, share memory, and delegate tasks, often encountering adversarial conte
Self-improving LLM agents increasingly distill successful experiences into persistent, reusable skills. Existing skill a
Static-analysis checker synthesis requires agents to interpret a defect specification, inspect a repository, implement a