Building Trustworthy and Resilient Artificial Intelligence Systems
As AI systems become more sophisticated and integrated into our daily lives, they also become attractive targets for malicious actors. Traditional cybersecurity approaches are insufficient for protecting AI systems, which face unique vulnerabilities including model poisoning, adversarial attacks, data inference, and model extraction. SecureAI addresses these emerging threats through comprehensive research and development of defense mechanisms that protect AI throughout its entire lifecycle.
Research Focus Areas
The Team pioneers research in making artificial intelligence systems fundamentally more secure and resilient. We develop novel defense mechanisms against adversarial attacks, create robust training methodologies, and establish security benchmarks for AI systems across various domains.
Revolutionizing Agriculture Through Intelligent Technology
The AI for Food Sustainability initiative represents a transformative approach to addressing one of humanity's most pressing challenges: ensuring food security for a growing global population while minimizing environmental impact. This groundbreaking research program harnesses the power of artificial intelligence, machine learning, and data analytics to create smarter, more efficient, and more sustainable food systems from farm to fork.
Project Focus Areas
This project applies cutting-edge machine learning techniques to address critical challenges in global food systems. We develop AI-powered solutions for precision farming, supply chain optimization, and sustainable resource management to create a more food-secure future.
Bridging Communication Gaps Through AI-Powered Sign Language Translation
SignTalk represents a groundbreaking initiative at the intersection of artificial intelligence and accessibility, dedicated to breaking down communication barriers for the deaf and hard-of-hearing community. This innovative research project leverages cutting-edge computer vision, natural language processing, and machine learning technologies to create real-time sign language translation systems that promote inclusivity and empower seamless communication.
Project Focus Areas
The team is dedicated to creating innovative AI solutions that bridge communication gaps for the deaf and hard-of-hearing community. Our research combines computer vision, natural language processing, and human-computer interaction to develop accurate, real-time sign language translation systems that work across different sign languages and contexts.
