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The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures

Summary: First study of data poisoning on learned index structures, training on a CDF causing cascading errors across the model. Attacks on RMI and two-stage models yield up to 300x and 3000x error inflation, revealing security risks of data-tailored indexes. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6381
Venue
SIGMOD
Year
2022
Pagerank
6.6489359e-05
Overall Rank
4,516 | 69.02%
DOI
10.1145/3514221.3517867

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kornaropoulos_sigmod22,
        title = {{The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures}},
        author = {Kornaropoulos, Evgenios M. and Ren, Silei and Tamassia, Roberto},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3517867},
        url = {https://dl.acm.org/doi/10.1145/3514221.3517867},
        year = {2022}
}

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