Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference | ScienceToStartup | ScienceToStartup

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References (33)

[1]

MAGE-ID: A Multimodal Generative Framework for Intrusion Detection Systems

2025M. A. Loodaricheh, M. Manshaei et al.

[2]

Exploring Transferability of Adversarial Examples from Resource-Constrained Devices

2025Houchao Gan, S. Yousefi et al.

[3]

Detection of Misreporting Attacks on Software-Defined Immersive Environments

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"A noise-aware anomaly detection framework for securing collaborative DNN inference against misclassification attacks."

Security in AI•Score: 5•View PDF ↗

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Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference

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References (33)

Founder's Pitch

"A noise-aware anomaly detection framework for securing collaborative DNN inference against misclassification attacks."

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Noise-Aware Misclassification Attack Detection in Collaborative DNN Inference

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References (33)

Founder's Pitch

"A noise-aware anomaly detection framework for securing collaborative DNN inference against misclassification attacks."

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