11 results for "ai detection"
The Controllability Trap: A Governance Framework for Military AI Agents
Agentic AI systems - capable of goal interpretation, world modeling, planning, tool use, long-horizon operation, and autonomous coordination - introduce distinct control failures not addressed by exis…
Arc Gate —LLM proxy that hits P=1.00 R=1.00 F1=1.00 on indirect/roleplay prompt injection (beats OpenAI Moderation and LlamaGuard)
Benchmarked on 40 out-of-distribution prompts, indirect requests, roleplay framings, hypothetical scenarios, technical phrasings. The stuff that slips past everything else. Arc Gate: P=1.00, R=1.00, F…
Structural Enforcement of Goal Integrity in AI Agents via Separation-of-Powers Architecture
Recent evidence suggests that frontier AI systems can exhibit agentic misalignment, generating and executing harmful actions derived from internally constructed goals, even without explicit user reque…
ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems
Despite a century of empirical memory research, existing AI agent memory systems rely on system-engineering metaphors (virtual-memory paging, flat LLM storage, Zettelkasten notes), none integrating pr…
GSAR: Typed Grounding for Hallucination Detection and Recovery in Multi-Agent LLMs
Autonomous multi-agent LLM systems are increasingly deployed to investigate operational incidents and produce structured diagnostic reports. Their trustworthiness hinges on whether each claim is groun…
A Systematic Approach for Large Language Models Debugging
Large language models (LLMs) have become central to modern AI workflows, powering applications from open-ended text generation to complex agent-based reasoning. However, debugging these models remains…
Agentic Adversarial Rewriting Exposes Architectural Vulnerabilities in Black-Box NLP Pipelines
Multi-component natural language processing (NLP) pipelines are increasingly deployed for high-stakes decisions, yet no existing adversarial method can test their robustness under realistic conditions…
Do Transaction-Level and Actor-Level AML Queues Agree? An Empirical Evaluation of Granularity Effects on the Elliptic++ Graph
Graph-based anti-money laundering (AML) systems on blockchain networks can score suspicious activity at two granularity levels -- transactions or actor addresses -- yet compliance action is conducted …
The Kerimov-Alekberli Model: An Information-Geometric Framework for Real-Time System Stability
This study introduces the Kerimov-Alekberli model, a novel information-geometric framework that redefines AI safety by formally linking non-equilibrium thermodynamics to stochastic control for the eth…
Detecting & Blocking Anomalous Traffic with Cloud Anomaly Detector
A lightweight, containerized anomaly detection system that monitors traffic in real time, detects...…
Turbo-OCR Update: Layout Model + Multilingual
Follow-up to my post 18 days ago about the C++/CUDA OCR server. Two additions: What's New: Layout model: Added PP-StructureV3 for layout detection Multilingual: No longer Latin-only. Now supports Chin…