1 citations · 1 across the 7 of their papers we have counts for
8 papers
Audited Skill-Graph Self-Improvement for Agentic LLMs via Verifiable Rewards, Experience Synthesis, and Continual Memory
Ken Huang, Jerry Huang
Reinforcement learning is increasingly used to transform large language models into agentic systems that act over long horizons, invoke tools, and manage memory under partial obser…
Bilevel Optimization for Covert Memory Tampering in Heterogeneous Multi-Agent Architectures (XAMT)
Akhil Sharma, Shaikh Yaser Arafat, Jai Kumar Sharma +1
The increasing operational reliance on complex Multi-Agent Systems (MAS) across safety-critical domains necessitates rigorous adversarial robustness assessment. Modern MAS are inhe…
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI
Ken Huang, Kyriakos Rock Lambros, Jerry Huang +8
This paper introduces the Agentic AI Governance Assurance & Trust Engine (AAGATE), a Kubernetes-native control plane designed to address the unique security and governance challeng…
DIRF: A Framework for Digital Identity Protection and Clone Governance in Agentic AI Systems
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood +6
The rapid advancement and widespread adoption of generative artificial intelligence (AI) pose significant threats to the integrity of personal identity, including digital cloning,…
Fortifying the Agentic Web: A Unified Zero-Trust Architecture Against Logic-layer Threats
Ken Huang, Yasir Mehmood, Hammad Atta +3
This paper presents a Unified Security Architecture that fortifies the Agentic Web through a Zero-Trust IAM framework. This architecture is built on a foundation of rich, verifiabl…
Logic layer Prompt Control Injection (LPCI): A Novel Security Vulnerability Class in Agentic Systems
Hammad Atta, Ken Huang, Manish Bhatt +3
The integration of large language models (LLMs) into enterprise systems has introduced a new class of covert security vulnerabilities, particularly within logic execution layers an…
Towards Unifying Quantitative Security Benchmarking for Multi Agent Systems
Gauri Sharma, Vidhi Kulkarni, Miles King +1
Evolving AI systems increasingly deploy multi-agent architectures where autonomous agents collaborate, share information, and delegate tasks through developing protocols. This conn…
QSAF: A Novel Mitigation Framework for Cognitive Degradation in Agentic AI
Hammad Atta, Muhammad Zeeshan Baig, Yasir Mehmood +5
We introduce Cognitive Degradation as a novel vulnerability class in agentic AI systems. Unlike traditional adversarial external threats such as prompt injection, these failures or…