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University of Copenhagen Copenhagen
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Reducing noise in differential privacy can lead to significant gains in model accuracy while still effectively mitigating reconstruction attacks.
Achieve comparable performance to strong baselines with spectral circulant layers while drastically reducing parameters and enabling tighter Lipschitz certificates.
