The security of artificial intelligence (AI) is increasingly pressing as technology advances. Expert Rukayat Olapojoye focuses on threat research and prevention methods, emphasizing federated learning model protection and blockchain integration.
Relevance of AI Security
AI security is a critical task in modern times. Each breakthrough in machine learning brings new vulnerabilities, necessitating the development of protective mechanisms. Rukayat Olapojoye has dedicated her career to investigating these issues, stating, "My journey into computer science began 15 years ago with a fascination for technology and its ability to solve real-world problems." She explores AI model attacks, particularly in federated learning, defending against the introduction of corrupted data.
Blockchain Integration
Integrating blockchain into AI security systems is one of Rukayat's research areas. Blockchain provides reliable ways to track changes in federated learning models. It creates an immutable and auditable log, simplifying the detection of malicious actors and enhancing data trust. However, the use of traditional blockchain protocols, like proof-of-work, may be too resource-intensive, another focus of Olapojoye's studies.
Role of Quantum Computing
Olapojoye also addresses the threats linked to the evolution of quantum computing, which could severely impact cryptographic security foundations. Her research aims to develop quantum-resistant cryptography to keep AI and blockchain models secure in the upcoming quantum era. She examines integrating such solutions to ensure federated learning security and accessibility for a broader range of organizations.
Rukayat Olapojoye's work highlights the importance of developing secure innovations in AI and blockchain. Her research demonstrates that even with increasing threats, the world of decentralized systems can be safeguarded through new approaches and technologies.
