11 papers
AMT-X: Phase-Structured Multi-Turn Red-Teaming with Checklist-Gated Evaluation
Yi Ting Shen, Kentaroh Toyoda, Alex Leung
The paper introduces AMT‑X, a framework that conducts multi‑turn red‑team attacks on large language models using a phase‑structured state machine and evaluates success with a multi…
The Insurability Frontier of AI Risk: Mapping Threats to Affirmative Coverage, Silent Exposures, and Exclusions
Alex Leung, Rex Zhang, Ervin Ling +2
The rapid diffusion of agentic AI has created a new coverage problem for commercial insurance: some AI-mediated losses are now affirmatively insured, some create silent-AI exposure…
From Control Boundary to Insurance Claim: Reconstructing AI-Mediated Losses Through the CER Framework
Alex Leung, Rex Zhang, Kentaroh Toyoda +1
AI losses that arise through an insured organization's generative or agentic AI system require state reconstruction, not merely event reconstruction, because the relevant state cha…
Bastet: A Fine-Grained Expert-Labeled Dataset for DeFi Smart Contract Vulnerability Detection
Wan-Hsuan Hsu, Wei-Hsin Wang, Cheng-Yu Liou +2
Smart contract vulnerabilities in Decentralized Finance (DeFi) protocols resulted in over 1.49 billion USD in confirmed losses in 2024 alone, across 192 incidents [1]. As LLM-based…
IPI-proxy: An Intercepting Proxy for Red-Teaming Web-Browsing AI Agents Against Indirect Prompt Injection
Chia-Pei, Chen, Kentaroh Toyoda +2
Web-browsing AI agents are increasingly deployed in enterprise settings under strict whitelists of approved domains, yet adversaries can still influence them by embedding hidden in…
Knowledge-Free Correlated Agreement for Incentivizing Federated Learning
Leon Witt, Togrul Abbasli, Kentaroh Toyoda +2
We introduce Knowledge-Free Correlated Agreement (KFCA) to reward client contributions in federated learning (FL) without relying on ground truth, a public test set, or distributio…