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However, unlike biological vision, which evolved without selective pressure for data confidentiality, artificial edge systems face critical security demands. Therefore, next\u2010generation hardware must extend beyond biological mimicry by combining bio\u2010inspired efficiency with cryptographic capabilities. Here, a compact, multifunctional wafer\u2010scale monolithic 3D (M3D) architecture is proposed for secure in\u2010memory processing of optically acquired visual data. Integrating quantum dot\u2010sensitized phototransistors with stacked high\u2010density vertical resistive random\u2010access\u00a0memories (VRRAMs) provides multi\u2010domain entropy sources, generating physical unclonable function (PUF) keys with \u224850% inter\u2010device variability. Multi\u2010layer encryption using functionally independent PUF keys enhances cryptographic resilience through key diversity. 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Comparable classification accuracy for plaintext and encrypted hash inputs further underscores the potential of M3D\u2010integrated platforms for secure, privacy\u2010preserving machine vision at the edge.\n                  <\/jats:p>","DOI":"10.1002\/adma.202509367","type":"journal-article","created":{"date-parts":[[2025,10,29]],"date-time":"2025-10-29T13:48:30Z","timestamp":1761745710000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Monolithic 3D Integration of Vertical Memory with Phototransistor for Near\u2010Sensor Cryptography and Homomorphic Data Searching"],"prefix":"10.1002","volume":"38","author":[{"given":"Batyrbek","family":"Alimkhanuly","sequence":"first","affiliation":[{"name":"Department of Electronics and Information Convergence Engineering College of Electronics and Information Kyung Hee University  Yongin\u2010si Gyeonggi\u2010do 17104 Republic of Korea"},{"name":"Department of Electronic 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