2 citations · 2 across the 4 of their papers we have counts for
5 papers · 1 filter
From Detection to Decision: Calibration and Deferral for Prompt-Injection Detection
Qianlong Lan, Anuj Kaul, Vinothini Pandurangan +1
Prompt-injection defenses are commonly evaluated as binary detectors, although deployed LLM applications must make operational decisions about whether to allow, block, or escalate…
Beyond F1: Evaluating Coverage and Failure Recovery in AI Model Security Scanners
Qianlong Lan, Vinothini Pandurangan, Anuj Kaul +1
Static scanners are increasingly used to identify executable or otherwise unsafe content in machine- learning artifacts, yet conventional evaluation metrics characterize only cases…
The Cognitive Firewall:Securing Browser Based AI Agents Against Indirect Prompt Injection Via Hybrid Edge Cloud Defense
Qianlong Lan, Anuj Kaul
Deploying large language models (LLMs) as autonomous browser agents exposes a significant attack surface in the form of Indirect Prompt Injection (IPI). Cloud-based defenses can pr…
Silent Egress: When Implicit Prompt Injection Makes LLM Agents Leak Without a Trace
Qianlong Lan, Anuj Kaul, Shaun Jones +1
Agentic large language model systems increasingly automate tasks by retrieving URLs and calling external tools. We show that this workflow gives rise to implicit prompt injection:…
Zero-Trust Runtime Verification for Agentic Payment Protocols: Mitigating Replay and Context-Binding Failures in AP2
Qianlong Lan, Anuj Kaul, Shaun Jones +1
The deployment of autonomous AI agents capable of executing commercial transactions has motivated the adoption of mandate-based payment authorization protocols, including the Unive…