Token-Level Attribution of Multi-Mode LLM Watermarks: Optimal Rule and Belief Weighting
A watermark verifier may hold many modes, i.e., secret keys, and a document may mix spans of different modes with unwate
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Modern LLM applications rely on runtime monitors that inspect tool calls, traces, streams, detector outputs, and verifie
Multimodal large language model (MLLM)-based mobile agents are rapidly evolving from conversational assistants into auto
MLLM-based mobile agents are rapidly gaining autonomy in perception, planning, and closed-loop execution in dynamic mobi
Tool-using agents read untrusted external content, which exposes them to indirect prompt injection (IPI), where hidden i
AI agents translate user intents into system actions via tool invocations. Accurately attributing these actions to their
Generative models for deepfakes have rapidly evolved from GAN-based architectures to diffusion models and multimodal lar
Static Application Security Testing (SAST) reports flag operations whose safety depends on project-specific context, and
Large language model (LLM) agents increasingly rely on persistent memory to support long-term reasoning and personalized
The increasing exposure of cellular core-network elements to public networks has turned Diameter signaling interfaces in
LLMs over external data face a per-instruction tension: a single document or tool return often interleaves legitimate di
Modern large language model (LLM) systems reuse key-value (KV) caches to accelerate inference. Recent work has shown tha
Memory poisoning and decomposition attacks distribute malicious evidence across the operations of large language model a
Large language models (LLMs) increasingly process sensitive documents and personal information, yet sending prompts cont
Split language models keep input text on a client but send intermediate representations to a server. Attacks can reconst
This study proposes the Automated Compliance Engine (ACE), an AI-orchestrated framework that links intrusion detection,
AI agents increasingly browse the web on users' behalf, yet they consume webpages as screenshots or text, exposing their
An attacker targeting the software supply chain (SWSC) of VLSI tools can fully subvert the VLSI design pipeline through
On-device deployment of large language models (LLMs) is increasingly adopted due to latency and privacy requirements, bu
Agent harnesses, the prompt and tool code around a base model, leak. Claude Code's 512,000 lines were mirrored within ho