Dr. Hamed Taherdoost, Associate ProfessorHamta Group | Hamta Business Corporation ; University Canada West, Vancouver, Canada
Speech Title: Security and Privacy in Machine Learning
Abstract: Machine learning technologies are becoming more common as computer technology, algorithms, and—most importantly—the availability of massive volumes of data advance. Through pattern recognition, real-time mapping of cybercrime, and comprehensive penetration testing, machine learning may reduce cyber risks and strengthen security infrastructure. However, it is currently unknown how machine learning systems and algorithms may affect security. Given that machine learning algorithms' inner workings cannot simply be revealed; security issues are crucial. The use of machine learning algorithms raises privacy issues, and as the general public becomes more concerned with their privacy, more research is undoubtedly needed to develop machine learning systems that protect privacy. In this speech we will discuss the security and privacy implications of machine learning.
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