A black-box data-poisoning attack on learned cardinality estimators: altering under 1% of training tuples degrades six estimators by up to three orders of magnitude, and finding the optimal poisoning strategy is NP-hard.
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Algorithmic Complexity Attacks on All Learned Cardinality Estimators: A Data-centric Approach
A black-box data-poisoning attack on learned cardinality estimators: altering under 1% of training tuples degrades six estimators by up to three orders of magnitude, and finding the optimal poisoning strategy is NP-hard.