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Not Just Change the Labels, Learn the Features: Watermarking Deep Neural Networks with Multi-View Data
Unfortunately, existing methodologies based on trigger sets are still susceptible to functionality-stealing attacks, potentially enabling adversaries to steal the functionality of the source model without a reliable means of verifying ownership.
PALM: Pushing Adaptive Learning Rate Mechanisms for Continual Test-Time Adaptation
Real-world vision models in dynamic environments face rapid shifts in domain distributions, leading to decreased recognition performance.
Acoustic-to-articulatory inversion for dysarthric speech: Are pre-trained self-supervised representations favorable?
We demonstrate the impact of different pre-trained features on this challenging AAI task, at low-resource conditions.
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