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Adversarial principal component analysis,

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eess.SP 1

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2019 1

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CONDITIONAL 1

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On the Adversarial Robustness of Subspace Learning

eess.SP · 2019-08-17 · conditional · novelty 7.0

The paper gives closed-form optimal data-poisoning attacks on PCA, showing the worst-case subspace rotation depends only on the k-th and (k+1)-th singular values and the attacker's energy budget.

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  • On the Adversarial Robustness of Subspace Learning eess.SP · 2019-08-17 · conditional · none · ref 26

    The paper gives closed-form optimal data-poisoning attacks on PCA, showing the worst-case subspace rotation depends only on the k-th and (k+1)-th singular values and the attacker's energy budget.