IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) 2021 - Special Session on Artificial Intelligence and Security (AISE) Shenzhen, China July 18 – 22, 2021 Website: https://sites.google.com/view/aise-2021 IMPORTANT DATES Submission deadline: 15 January 2021 Notification to authors: 15 March 2021 SCOPE The widespread diffusion of computational capabilities in a plethora of aspects of every-day life (for instance, mobile devices, cars, smart houses, critical infrastructures, e-health) and the penetration of computers and software in enterprises of every dimension have led to an enormous number of victims of cyberattacks. Techniques exploiting AI have been successfully used in many real-world applications on a wide spectrum of engineering problems. Looking at the security context, these approaches can also be used to protect the privacy and security of the users of information and communication systems and technologies. Such techniques can be useful for the verification and mitigation of malicious threats to verify security properties thoroughly. Topics of interest in these areas include denial of service attacks, computer forensics, intrusion detection systems, homeland security, critical infrastructures protection, sensitive information leakage, access control, and malware detection and tracking. Thus, AI offers the potential to develop secure systems. From these considerations, the objective of this special session is to encourage the integration between this cyber-security and AI communities towards the development of secure and resistant systems. TOPICS Topics of interest cover, but are not limited to, the application of artificial intelligence techniques relating to: • Intelligent analysis algorithm for Privacy or Security • Big data intelligence in security and privacy • Adversarial Machine Learning approaches • Deep Learning in security and privacy • Generative adversarial networks (GANs) for security and privacy • Data mining and publishing for security and privacy • Computational intelligence in security and privacy • Intrusion, anomaly, and fraud detection • Sensitive and intelligent data collection and access • Secure cloud computing and multi-party computation • Artificial Intelligence for threat predictions • Models and predictive analytics in cybersecurity • Behavioral Analysis, Profiling, Modeling, and Classification • Artificial Intelligence approaches for intrusion detection • Artificial Intelligence-based Hazardous Behaviours and Risk Mitigation • Artificial Intelligence Cyber-disaster management and recovery • Biometric-behavioral models for user authentication • Behavioral Analysis for Access and Usage Control SUBMISSION GUIDELINES Please follow the instructions at https://sites.google.com/view/aise-2021/authors-guidelines GENERAL AND PROGRAM CHAIRS Riccardo Pecori (University of Sannio, Italy) Marta Cimitile (Unitelma Sapienza University, Italy) Luca Verderame (University of Genoa, Italy) MAIN CONTACT rpecori [at] unisannio.it