2 papers
cs.AI2026
Quantifying Trust: Financial Risk Management for Trustworthy AI Agents
Wenyue Hua, Tianyi Peng, Chi Wang +4
Prior work on trustworthy AI emphasizes model-internal properties such as bias mitigation, adversarial robustness, and interpretability. As AI systems evolve into autonomous agents…
cs.CR2025
EXPLICATE: Enhancing Phishing Detection through Explainable AI and LLM-Powered Interpretability
Bryan Lim, Roman Huerta, Alejandro Sotelo +2
Sophisticated phishing attacks have emerged as a major cybersecurity threat, becoming more common and difficult to prevent. Though machine learning techniques have shown promise in…