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El eje central de la XII edición del congreso (COMPDES2019) ha sido nuevamente el Internet de las Cosas (Internet of Things). Este eje se tomado como orientación general de los trabajos con las siguientes líneas temá...

Materias / palabras clave: machine learning security, adversarial machine learning, ai security, anonymization and de-identification technologies, cloud computing and security and privacy threats in the cloud, information-theoretic security; Techn...

Materias / palabras clave: Machine learning; Computer security; Electronic books

Materias / palabras clave: Black box; Harm; Computer science; Key (lock); Criminal justice; Artificial intelligence; Economic Justice; Machine learning; Data science; Criminology; Psychology; Computer security

Abstract This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book...

In recent years, deep neural networks have yielded immense success on speech recognition, computer vision and natural language processing. However, the exploration of deep neural networks on recommender systems has recei...

Materias / palabras clave: mobile computing, network security, sensor networks, data mining, machine learning; Technology: Technology (General); Science

Materias / palabras clave: computer networks and security, soft computing, machine learning, data science, signals and systems, artificial intelligence; Science: Mathematics: Instruments and machines: Electronic computers. Computer science; Langua...

Materias / palabras clave: machine learning, scheduling, internet of things, metaheuristics, optimization, network security; Technology: Technology (General): Industrial engineering. Management engineering: Information technology

With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding ...

Today’s artificial intelligence still faces two major challenges. One is that, in most industries, data exists in the form of isolated islands. The other is the strengthening of data privacy and security. We propose a ...

Functionality-specific vulnerabilities, which mainly occur in Application Programming Interfaces (APIs) with specific functionalities, are crucial for software developers to detect and avoid. When detecting individual fu...

Despite widespread adoption, machine learning models remain mostly black boxes. Understanding the reasons behind predictions is, however, quite important in assessing trust, which is fundamental if one plans to take acti...