Cyber attacks are occurring at unprecedented levels on both legacy and state-of-the-art systems that are vital to our society for media, social interaction, manufacturing, healthcare, and energy. Given that attacks are occurring in unexpected ways at different scales, the problem of cyber defense has become an interdisciplinary area that scales across all technologies. Data science, image processing, and machine learning-based methods are increasingly becoming critical to develop new integrated cloud services to enhance security and privacy of high volume, high value, imaging, and multimodal sensor data. There is a need to apply trusted computing techniques in software and hardware associated with applied imagery pattern recognition solutions. Issues with resource constraints as well as human/behavioral aspects create new challenges in increasing the resilience of complex data environments. Further, the rise of social media has created new attack surfaces relating to image/video privacy, veracity, provenance and public perception. Tamper proofing vision, image analysis, AI and machine learning methods will be critical to the adoption of cloud services and ensuring trust in newly emerging autonomous applications. The 2020 IEEE AIPR Workshop will explore these trusted computing applications and multimedia workflows for improving privacy, cybersecurity, trusted social media, the resilience of systems for video analytics, and the safety of machine learning and autonomous systems.
The Workshop Committee invites papers that address all aspects of how trusted computing can be used to improve cybersecurity, resilience, and privacy of multimedia including utilizing robust techniques, methodologies, and algorithms from pattern recognition, development of novel tools, and theory and mechanisms of cyber defense operations. Topics include, but are not limited to, the following:
Deadline for abstracts: June 15, 2020. The Workshop will include oral and poster presentations, several keynote talks that provide in-depth overviews of the fields, and a special session on the theme topic. Written papers will be required (due after the workshop) and will be indexed in IEEEXplore. AIPR 2020, the 49th annual workshop, is sponsored by the IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence and organized by the AIPR Workshop Committee with generous support from other sponsors. Updates and additional information can be found at www.aipr-workshop.org.
Cosmos Club, Washington, D.C. October 13-15, 2020
Prasad Calyam, University of Missouri Jon Rolf, National Security Agency
Call for Paper Abstracts from NSA Centers of Academic Excellence