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Explore the critical privacy vulnerabilities and security challenges inherent in genomic data sharing systems through this 29-minute conference talk from the Computational Genomics Summer Institute. Examine how genomic data-sharing beacons, designed to enable secure queries about genetic variants, can be exploited through sophisticated reconstruction and re-identification attacks. Learn about cutting-edge research demonstrating how attackers can reconstruct individual genomes using only summary statistics, leverage kinship relationships to enhance re-identification success rates, and perform allele inference attacks to breach privacy protections. Discover innovative defense mechanisms including reinforcement learning-based approaches for dynamic privacy protection that adapt to evolving threat landscapes. Gain insights into the fundamental tension between data utility and privacy in genomic research, understanding both the technical mechanisms behind these attacks and the mathematical foundations of proposed countermeasures. Understand the broader implications for biomedical research, personalized medicine, and the ethical considerations surrounding large-scale genomic data sharing initiatives.
