Explore our innovative researchs across five thematic areas, pushing the boundaries of AI and cybersecurity.
Developing robust, secure, and trustworthy AI systems that can withstand sophisticated attacks while maintaining performance and reliability.
Comprehensive framework for building and deploying secure AI systems with built-in protection against adversarial attacks and data poisoning.
Developing state-of-the-art defense mechanisms against adversarial attacks on deep learning models in critical applications.
Privacy-preserving distributed learning framework with formal security guarantees and protection against inference attacks.
Leveraging artificial intelligence for advanced threat detection, analysis, and automated cyber defense systems.
AI-powered system for real-time detection and analysis of cyber threats using advanced machine learning and behavioral analysis.
Automated malware classification and analysis system using deep learning for rapid identification and characterization of threats.
Advanced anomaly detection system for network traffic using unsupervised learning and real-time monitoring capabilities.
Securing critical infrastructure systems including IoT, 5G networks, healthcare systems, and energy grids against emerging threats.
Comprehensive security framework for IoT ecosystems with device authentication, secure communication, and threat detection.
Security solutions for 5G network infrastructure focusing on network slicing security, edge computing protection, and threat mitigation.
Privacy-preserving techniques for healthcare data including differential privacy, homomorphic encryption, and secure data sharing.
Cybersecurity framework for smart grid and energy infrastructure with real-time monitoring and automated threat response.
Security assessment and protection framework for connected medical devices including implants, monitors, and diagnostic equipment.
Exploring next-generation security challenges including quantum computing threats, generative AI security, and developing ethical AI policy frameworks.
Developing post-quantum cryptographic algorithms and protocols resistant to quantum computing attacks on current encryption systems.
Addressing security challenges in generative AI systems including prompt injection, model extraction, and content verification.
Developing comprehensive ethical guidelines and frameworks for responsible AI development, deployment, and governance.
Comprehensive security analysis of blockchain and distributed ledger technologies with focus on smart contract vulnerabilities.
Developing AI systems that are transparent, fair, accountable, and designed with human values and societal impact in mind.
Real-time AI system for sign language translation, breaking communication barriers and promoting inclusivity for deaf communities.
Leveraging AI to enhance food sustainability through intelligent resource management, waste reduction, and optimized agricultural practices for a healthier planet.
Research on effective human-AI teaming, collaboration patterns, and interface design for enhanced human-AI partnership.
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