Amin Hass

According to our database, Amin Hass authored at least 25 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Train the Trainers - An Agentic AI Framework for Peer-Based Mental Health Support in Battlefield Environments.

Atmaram Yarlagadda, Eranga Bandara, Ross Gore, Anita H. Clayton, Preston Samuel, Christopher K. Rhea, Sachin Shetty, Ravi Mukkamala, Xueping Liang, Amin Hass, Abdul Rahman

CoRR, May, 2026

MindGap: A Conversational AI Framework for Upstream Neuroplastic Intervention in Post-Traumatic Stress Disorder.

Eranga Bandara, Ross Gore, Asanga Gunaratna, Ravi Mukkamala, Nihal Siriwardanagea, Sachini Rajapakse, Isurunima Kularathna, Pramoda Karunarathna, Wathsala Herath, Chalani Rajapakse, Sachin Shetty, Anita H. Clayton, Christopher K. Rhea, Ng Wee Keong, Kasun De Zoysa, Amin Hass, Shaifali Kaushik, Preston Samuel, Atmaram Yarlagadda

CoRR, May, 2026

Think Before You Act - A Neurocognitive Governance Model for Autonomous AI Agents.

Eranga Bandara, Ross Gore, Asanga Gunaratna, Sachini Rajapakse, Isurunima Kularathna, Ravi Mukkamala, Sachin Shetty, Xueping Liang, Amin Hass, Tharaka Hewa, Abdul Rahman, Christopher K. Rhea, Anita H. Clayton, Preston Samuel, Atmaram Yarlagadda

CoRR, April, 2026

Flowr - Scaling Up Retail Supply Chain Operations Through Agentic AI in Large Scale Supermarket Chains.

Eranga Bandara, Ross Gore, Sachin Shetty, Piumi Siyambalapitiya, Sachini Rajapakse, Isurunima Kularathne, Pramoda Karunarathna, Ravi Mukkamala, Peter Foytik, Safdar H. Bouk, Abdul Rahman, Xueping Liang, Amin Hass, Tharaka Hewa, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, April, 2026

AI Trust OS - A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments.

Eranga Bandara, Asanga Gunaratna, Ross Gore, Abdul Rahman, Ravi Mukkamala, Sachin Shetty, Sachini Rajapakse, Isurunima Kularathna, Peter Foytik, Safdar H. Bouk, Xueping Liang, Amin Hass, Ng Wee Keong, Kasun De Zoysa

CoRR, April, 2026

An Agentic AI Control Plane for 6G Network Slice Orchestration, Monitoring, and Trading.

Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Tharaka Hewa, Abdul Rahman, Xueping Liang, Safdar H. Bouk, Amin Hass, Peter Foytik, Ng Wee Keong, Kasun De Zoysa

CoRR, February, 2026

A Practical Guide to Agentic AI Transition in Organizations.

Eranga Bandara, Ross Gore, Sachin Shetty, Sachini Rajapakse, Isurunima Kularathne, Pramoda Karunarathna, Ravi Mukkamala, Peter Foytik, Safdar H. Bouk, Abdul Rahman, Xueping Liang, Amin Hass, Tharaka Hewa, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, February, 2026

2025

Towards Responsible and Explainable AI Agents with Consensus-Driven Reasoning.

Eranga Bandara, Tharaka Hewa, Ross Gore, Sachin Shetty, Ravi Mukkamala, Peter Foytik, Abdul Rahman, Safdar H. Bouk, Xueping Liang, Amin Hass, Sachini Rajapakse, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, December, 2025

A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows.

Eranga Bandara, Ross Gore, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Xueping Liang, Safdar H. Bouk, Amin Hass, Sachini Rajapakse, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, December, 2025

ASTRIDE: A Security Threat Modeling Platform for Agentic-AI Applications.

Eranga Bandara, Amin Hass, Ross Gore, Sachin Shetty, Ravi Mukkamala, Safdar H. Bouk, Xueping Liang, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, December, 2025

Agentsway - Software Development Methodology for AI Agents-based Teams.

Eranga Bandara, Ross Gore, Xueping Liang, Sachini Rajapakse, Isurunima Kularathne, Pramoda Karunarathna, Peter Foytik, Sachin Shetty, Ravi Mukkamala, Abdul Rahman, Amin Hass, Ng Wee Keong, Kasun De Zoysa, Aruna Withanage, Nilaan Loganathan

CoRR, October, 2025

Standardization of Neuromuscular Reflex Analysis - Role of Fine-Tuned Vision-Language Model Consortium and OpenAI gpt-oss Reasoning LLM Enabled Decision Support System.

Eranga Bandara, Ross Gore, Sachin Shetty, Ravi Mukkamala, Christopher K. Rhea, Atmaram Yarlagadda, Shaifali Kaushik, L. H. M. P. De Silva, Andriy Maznychenko, Inna Sokolowska, Amin Hass, Kasun De Zoysa

CoRR, August, 2025

SafeTy Reasoning Elicitation Alignment for Multi-Turn Dialogues.

Martin Kuo, Jianyi Zhang, Aolin Ding, Louis DiValentin, Amin Hass, Benjamin F. Morris III, Isaac Jacobson, Randolph Linderman, James Kiessling, Nicolas Ramos, Bhavna Gopal, Maziyar Baran Pouyan, Changwei Liu, Hai Li, Yiran Chen

CoRR, June, 2025

Deep-Stride: Automated Security Threat Modeling with Vision-Language Models.

Eranga Bandara, Amin Hass, Sachin Shetty, Ravi Mukkamala, Ross Gore, Abdul Rahman, Safdar H. Bouk

Proceedings of the International Conference on Software, 2025

FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning.

Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai Li

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

Proactive Privacy Amnesia for Large Language Models: Safeguarding PII with Negligible Impact on Model Utility.

Martin Kuo, Jingyang Zhang, Jianyi Zhang, Minxue Tang, Louis DiValentin, Aolin Ding, Jingwei Sun, William Chen, Amin Hass, Tianlong Chen, Yiran Chen, Hai Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Context-Aware Hybrid Encoding for Privacy-Preserving Computation in IoT Devices.

Hossein Khalili, Hao-Jen Chien, Amin Hass, Nader Sehatbakhsh

IEEE Internet Things J., January, 2024

FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning.

Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li

CoRR, 2024

ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks.

Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li

Proceedings of the 33rd USENIX Security Symposium, 2024

Virtual Keymysteries Unveiled: Detecting Keystrokes in VR with External Side-Channels.

Hossein Khalili, Alexander Chen, Theodoros Papaiakovou, Timothy Jacques, Hao-Jen Chien, Changwei Liu, Aolin Ding, Amin Hass, Saman A. Zonouz, Nader Sehatbakhsh

Proceedings of the IEEE Security and Privacy, 2024

TTPatternMiner: Automated Learning and Characterization of Attack Pattern from Malicious Cyber Campaign.

Sharif Ullah, Sachin Shetty, Abdul Rahman, Amin Hass, Xiaoyong Yuan

Proceedings of the IEEE Military Communications Conference, 2024

An Empirical DNN Pruning Approach Against Membership Inference Attacks.

Matthew Chan, Aolin Ding, Amin Hass, Saman A. Zonouz

Proceedings of the Attacks and Defenses for the Internet-of-Things, 2024

2023

Enc2: Privacy-Preserving Inference for Tiny IoTs via Encoding and Encryption.

Hao-Jen Chien, Hossein Khalili, Amin Hass, Nader Sehatbakhsh

Proceedings of the 29th Annual International Conference on Mobile Computing and Networking, 2023

Resource-Aware DNN Partitioning for Privacy-Sensitive Edge-Cloud Systems.

Aolin Ding, Amin Hass, Matthew Chan, Nader Sehatbakhsh, Saman A. Zonouz

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Get Your Cyber-Physical Tests Done! Data-Driven Vulnerability Assessment of Robotic Aerial Vehicles.

Aolin Ding, Matthew Chan, Amin Hass, Nils Ole Tippenhauer, Shiqing Ma, Saman A. Zonouz

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023