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Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels
Machine learning, with its myriad applications, has become an integral component of numerous technological systems.
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel
In this paper, as a separate case study, we demonstrate that a DL model secured with differential privacy (a popular countermeasure against MIA) is still vulnerable to MIA against an adversary exploiting Class Leakage.
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