Mission
The TrustSec AI Lab advances research at the intersection of AI and cybersecurity, building AI-driven solutions that enhance the security, robustness, and trustworthiness of interconnected digital systems.
Foundational Work
Network Security
Threat detection across complex distributed environments.
Data Leakage
Prevent sensitive data exposure and model inversion.
Adversarial AI
Defense against adversarial attacks and vulnerabilities.
Large Language Models
Secure deployment and risk mitigation for LLMs.
Research Focus
Adversarial Robustness
Protect AI systems from attacks like fraud and intrusion.
IoT Privacy in Health
Enhance privacy using generative and differential models.
LLM Hallucination
Reduce hallucinations with secure RAG pipelines.
Why It Matters
AI powers decision-making across sectors. The TrustSec AI Lab ensures these systems remain reliable, robust, and trustworthy.
Collaboration
UAlbany Labs
DL, federated learning, and anomaly detection research.
Government
Assess AI vulnerability to phishing attacks.
Students
Opportunities for undergrad and graduate researchers.
Education Impact
- Teach adversarial ML defense strategies
- Assess vulnerabilities in AI models
- Train students in deep learning
- Collaborate with industry partners
Lab Members
Nour Alhussien
Assistant Professor
Department of Cybersecurity
University at Albany
Nour Alhussien
Assistant Professor
College of Emergency Preparedness, Homeland Security and
Cybersecurity
Department of Cybersecurity
- Rubyat Tasnuva Hasan – Ph.D. Student
- Kumi Peters – Undergraduate Student
Contact
Location: ETEC 310
Email: nalhussien@albany.edu