TRAP: Tailored Robustness Assessment for Index Advisors via Adversarial Perturbation
Read the paper · doi:10.1109/icde60146.2024.00011
What this paper does with SQLancer
How it was classified
uses infrastructure — no
SQLancer is cited, not used; nothing in the mentions describes reusing its code.
extends technique — no
No technique is extended; the citation is background.
compares with — no
No empirical comparison against SQLancer is reported in the mentions.
describes as state of the art — no
The citation does not characterise SQLancer as the state of the art.
SQLancer publications it cites (1)
Bibliography entries that resolved to a SQLancer publication, or to a paper by one of the project's authors. A sentence citing one of these numbers is a reference to SQLancer even when it never writes the name.
| # | Entry | Matched as |
|---|---|---|
| 36 | M. Rigger and Z. Su, “Finding bugs in database systems via query partitioning,” Proc. ACM Program. Lang., vol. 4, no. OOPSLA, pp. 211:1–211:30, 2020. | sqlancer publication · TLP |
Every place it refers to SQLancer (1)
1 sentence, each stored verbatim from the extracted text with where it was found and how. “Citation marker” means the sentence names no tool at all and was reached through a reference number that resolved to a SQLancer publication.
| Id | Sentence | Found by | Where |
|---|---|---|---|
| M1 | TLP [36] derives multiple queries by partitioning the results from the original query. |
technique |
B SQL Generation page 3 |