Geometric Algorithms for k-NN Poisoning
DOI:
https://doi.org/10.57717/cgt.v4i2.55Abstract
We propose a label poisoning attack on geometric data sets against k-nearest neighbor classification. We provide an algorithm that can compute an εn-additive approximation of the optimal poisoning in n 22^{O(d+k/\ε)} time for a given data set X in Rd, where |X| = n. Our algorithm achieves its objectives through the application of multi-scale random partitions.
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Copyright (c) 2025 Diego Ihara Centurion, Karine Chubarian, Bohan Fan, Francesco Sgherzi, Thiruvenkadam Sivaprakasam Radhakrishnan, Anastasios Sidiropoulos, Angelo Straight
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