2603.00075 From Information-Theoretic Secrecy to Molecular Discovery: A Unified Perspective on Learning Under Uncertainty
We present a unified framework connecting two seemingly disparate research programs: information-theoretic secure communication over broadcast channels and machine learning for drug discovery via DNA-Encoded Chemical Libraries (DELs). Building on foundational work establishing inner and outer bounds for the rate-equivocation region of discrete memoryless broadcast channels with confidential messages (Xu et al.