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Found 3 papers, 1 papers with code
Hardware Trojan Detection Using Unsupervised Deep Learning on Quantum Diamond Microscope Magnetic Field Images
Unsupervised deep learning is used to classify wide field-of-view (4x4 mm$^2$), high spatial resolution magnetic field images taken using a Quantum Diamond Microscope (QDM).
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and Defenses
With the recent advancements in machine learning theory, many commercial embedded micro-processors use neural network models for a variety of signal processing applications.
Rethinking Empirical Evaluation of Adversarial Robustness Using First-Order Attack Methods
We identify three common cases that lead to overestimation of adversarial accuracy against bounded first-order attack methods, which is popularly used as a proxy for adversarial robustness in empirical studies.
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