A systematic review of on-device AI inference security finds defenses are imbalanced, with roughly half focused on IP theft while one-third of attacks (adversarial examples) lack any associated defenses.
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UNVERDICTED 2representative citing papers
Evidence-based taxonomy of security properties with first-order logic definitions and ProVerif/Tamarin executable examples derived from a 2022-2025 literature review of 53 studies.
citing papers explorer
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Protecting On-Device AI Inference: A Systematic Review of Attacks and Defence Mechanisms
A systematic review of on-device AI inference security finds defenses are imbalanced, with roughly half focused on IP theft while one-third of attacks (adversarial examples) lack any associated defenses.
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Bridging Theory and Practice: An Executable Taxonomy of Security Properties for ProVerif and Tamarin
Evidence-based taxonomy of security properties with first-order logic definitions and ProVerif/Tamarin executable examples derived from a 2022-2025 literature review of 53 studies.