New LLM backdoor hides attacks in logical reasoning
An arXiv preprint shows language models up to 119 billion parameters can disguise backdoors as legitimate reasoning and evade safety checks.
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An arXiv preprint shows language models up to 119 billion parameters can disguise backdoors as legitimate reasoning and evade safety checks.
Together AI's Marek and Ryabinin show score centering cancels drift in reinforcement learning of LLMs from 0.6B to 30B parameters.
DSB-IFEval tests 1,038 cases across eight assistant roles and finds voice agents drop up to 9.7% when instructions are implied, not stated.
New 'epistemic warrant' framework grades individual LLM recommendations from unstable to broadly supported, capturing what confidence scores miss.
SMC pairs a small drafter model with a large actor model to speculatively execute tool calls, reducing wall time by up to 45% on AppWorld.
SIR, a self-improving prompt injection attack, raised its success rate from 0% to 28% on Gemini 3.5 Flash while the agent's legitimate task still
New research shows ToolSiphon can extract most source records from LLM agent tools using only queries, affecting anyone building agent-based services.
DiaSentinel, a new arXiv preprint from a Taiwan hospital team, describes a fully on-premise multi-agent system for type 2 diabetes risk screening from
MMJailBench, a new factorized benchmark, evaluated 16 multimodal LLMs and found prompt framing, not visual tricks, drives most jailbreak vulnerabilities.
NVIDIA's $3.5 billion convertible bond investment in MediaTek locks in a partner spanning AI factories, consumer PCs and autonomous vehicles.
A systematic review of LLM-based security agents from 2023 to 2026 finds the field can act but cannot yet bound authority or audit behaviour.
Osmantic ODS bundles Ollama, Open WebUI, n8n and ComfyUI into a one-command local AI server. Here's what the README claims and what's unverified.