UNMASQUE: A Hidden SQL Query Extractor

Summary: UNMASQUE is a non-invasive SQL-query extractor that reverse engineers candidate queries yielding a given result. Platform independence via data mutation and generation; DB shrunk to a few rows to cut overhead. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12323
Venue: VLDB
Year: 2020
Pagerank: 5.0723324e-05
Overall Rank: 11,855 | 18.95%
DOI: 10.14778/3415478.3415481

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Kapil Khurana (Indian Institute of Science)
2. Jayant R. Haritsa (Indian Institute of Science)

BibTeX Citation

@article{khurana_vldb20,
        title = {{UNMASQUE: A Hidden SQL Query Extractor}},
        author = {Khurana, Kapil and Haritsa, Jayant R.},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2809--2812},
        doi = {10.14778/3415478.3415481},
        url = {https://doi.org/10.14778/3415478.3415481},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
9,142	Shedding Light on Opaque Application Queries	2021	SIGMOD	5.3022024e-05

Outgoing Citations (Sorted by Pagerank)

Showing 1 of 1 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
3,451	REGAL+: Reverse Engineering SPJA Queries	2018	VLDB	7.3864937e-05

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