QML-PipeGuard is a framework for runtime behavioral fingerprinting of QML pipelines that absorbs benign drift while detecting adversarial channel substitution via informationally complete measurements.
Liskov and Jeannette M
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Object orientation's partitioning of functionality into domain-corresponding objects is neither natural nor straightforward and inevitably produces fragmentation and conflation, so software engineering should abandon it for an approach that decouples domain individuals from functional modules.
citing papers explorer
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QML-PipeGuard: Drift-Aware Behavioral Fingerprinting for Quantum Machine Learning Pipeline Integrity
QML-PipeGuard is a framework for runtime behavioral fingerprinting of QML pipelines that absorbs benign drift while detecting adversarial channel substitution via informationally complete measurements.
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Beyond Objects
Object orientation's partitioning of functionality into domain-corresponding objects is neither natural nor straightforward and inevitably produces fragmentation and conflation, so software engineering should abandon it for an approach that decouples domain individuals from functional modules.