Although much attention has been directed to the study of security at the system and application levels, security and privacy research focusing on hardware and architecture aspects is still a new frontier. In the era of cloud computing, smart devices, and novel nano-scale devices, practitioners and researchers have to address new challenges and requirements in order to meet the ever-changing landscape of security research and new demands from consumers, enterprises, governments, defense and other industries.
HASP is intended to bring together researchers, developers, and practitioners from academia and industry, to share practical implementations and experiences related to all aspects of hardware and architectural support for security and privacy, and to discuss future trends in research and applications. To that end, papers are solicited from the areas, including, but not limited to:
Submission Deadline: Aug. 15, 2024 (extended deadline) by end of day Anywhere on Earth (AoE)
Notification of Acceptance: Sep. 16, 2024
Camera-Ready Version: Sep. 30, 2024
Physical Workshop: Nov. 2, 2024
Papers can be submitted on the EasyChair web page: https://easychair.org/conferences/?conf=hasp2024.
All submissions must be using the double-column ACM ICPS template. LaTeX template is preferred. Please use the ACM Standard template in the usual two-column format. The template can be found here. Regular papers may be up to 8 pages in length, and short papers up to 4 pages, inclusive of bibliography and appendices.
The submissions should be anonymized for double-blind review.
All accepted research papers, SoK papers and position papers will be included in the ACM Digital Library; Work-in-Progress papers are not included. The proceedings will be published through ACM ICPS and available through the ACM Digital Library.Mohit Twari is an associate professor and holds the Raytheon Company Faculty Fellowship in the Department of Electrical and Computer Engineering at The University of Texas at Austin. His current research focuses on building secure systems, all the way from hardware to system software to applications that run on them. Tiwari and his team have designed and built the first secure processor that obfuscates all digital signal outputs, including even addresses to physical memory.
Mengmei Ye is a Staff Research Scientist working on Confidential Computing and Cloud Infrastructure at IBM T.J. Watson Research Center. She received her Ph.D. degree in Electrical and Computer Engineering from Rutgers University in 2021. Her research work has been recognized with a Distinguished Paper with Artifacts Award at ACSAC 2023, a Best Paper Award at IEEE ICCD 2016, and a Best Paper Nomination at IEEE HOST 2018.
Michael LeMay is a Senior Staff Research Scientist in Intel Labs Security and Privacy Research who focuses on memory safety and exploit mitigation. He contributed to several Intel processor security features and open-source exploit mitigation technologies. Michael was Principal Investigator for Intel's Cryptographic Capability Computing (C3) project in the DARPA HARDEN program. He also served as Intel's final lead liaison to the SRC JUMP CONIX research center. Michael received his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2011 and is a Senior Member of the ACM and IEEE.
Fan Yao is an Assistant professor in the Department of Electrical and Computer Engineering at University of Central Florida. He is leading the Computer Architecture and Systems Research (CASR) lab. His research interests are in the areas of computer architecture, security, machine learning, and energy efficient computing.