The principal objective of this workshop is to bring together a core set of researchers around the topics of data, operational, and cybersecurity in genomics, omics and synthetic biology. The format of this workshop will be a group of talks around the topics of 1) genomic data protection, 2) security in synthetic biology automation, 3) the security of deep learning in decision making. We believe that now is a particularly important time to begin bringing together a community to research digital biosecurity.
We solicit talks addressing genomic resilience - spanning semantic data protection and secure data sharing, security in synthetic biology automation (secure and reliable), application of ML-based models in prediction and decision-making (e.g., early detection of data tampering), security assessments and other related topics. This workshop is geared toward getting ahead of security issues in the growing automated bioeconomy.
Selected abstracts will be given short slots for presentation at the workshop
Presentations and projects do not need to be complete in order to submit an abstract and we welcome in-progress abstracts
Topics for example presentations may include:
Genomics/synthetic biology cybersecurity
Security challenges in synthetic biology automation
Security risks in deep learning
Biosecurity risks from digital operations
Contact: Corey M. Hudson, Sandia National Laboratories cmhudso@sandia.gov
Nina Alli, Biohacking Village
Ravishankar K. Iyer, University of Illinois, Urbana-Champaign
Zbigniew Kalbarczyk, University of Illinois, Urbana-Champaign
Nicholas D. Pattengale, Sandia National Laboratories