Trustworthy Intelligence Lab

Advancing safe, secure, and reliable intelligence through cutting-edge computer vision research

Explore Our Research

Our Mission

🔍 Research Focus

We specialize in developing trustworthy AI systems with a focus on computer vision, ensuring our technologies are robust, interpretable, and ethically sound.

🛡️ Safety & Security

Our work emphasizes creating AI systems that are secure against adversarial attacks and maintain high safety standards in real-world applications.

🤝 Collaboration

We foster collaborative research with academia and industry partners to translate theoretical advances into practical solutions.

Featured Projects

🧠

Adversarial Robustness Framework

A comprehensive framework for evaluating and improving the robustness of computer vision models against adversarial attacks.

PyTorch Computer Vision Security
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👁️

Interpretable Vision Models

Developing explainable AI techniques to make computer vision models more interpretable and trustworthy for critical applications.

XAI Interpretability Deep Learning
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🔒

Privacy-Preserving AI

Research on federated learning and differential privacy techniques for training vision models while protecting sensitive data.

Privacy Federated Learning Medical AI
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🎯

Fair AI Systems

Developing methods to detect and mitigate bias in computer vision systems to ensure fair and equitable AI applications.

Fairness Bias Detection Ethics
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Efficient Vision Transformers

Optimizing vision transformer architectures for real-time applications while maintaining accuracy and trustworthiness.

Transformers Optimization Real-time
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🏥

Medical Image Analysis

Applying trustworthy AI techniques to medical imaging for reliable diagnosis and treatment planning in healthcare settings.

Medical AI Imaging Healthcare
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