Global ETD Search
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Showing 1 to 3 of 3 for “"algorithmic stability"”.
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Applications of empirical processes in learning theory : algorithmic stability and generalization bounds
… their generalization ability and their stability with respect to perturbations. To analyze these properties, we focus on concentration inequalities and tools from empirical process theory. We obtain theoretical results and demonstrate their applications to machine learning. First, we …
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Provable stability defenses for targeted data poisoning
… examples without raising suspicion. We suggest algorithmic stability as a sufficient condition for robustness against data poisoning, construct upper bounds on the possible effectiveness of data poisoning attacks against stable algorithms, and propose an algorithm that provides resilience …
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Automated and Provable Privatization for Black-Box Processing
… proof. The established theory also connects algorithmic stability and generalization error, demonstrating win-win situations in machine learning that simultaneously improve PAC Privacy and learning performance. c). Automated Privacy-Preserving Solutions: Theoretically, we characterize the …