Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach.
Ho Sung Shim|Hyoungjun Park|Kyuhan Lee|Jang-Sun Park|Seonhye Kang
| Anthology ID: | DBLP:conf/www/ShimPLPK24 |
|---|---|
| Volume: | Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 1327-1328 |
| URL: | https://doi.org/10.1145/3589335.3651903 |
| DOI: | https://doi.org/10.1145/3589335.3651903 |
| DBLP: | conf/www/ShimPLPK24 |
| BibTeX: |
@inproceedings{shim-2024-data,
author = {Ho Sung Shim and
Hyoungjun Park and
Kyuhan Lee and
Jang-Sun Park and
Seonhye Kang},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Roy Ka-Wei Lee and
Ravi Kumar and
Hady Wirawan Lauw},
title = {{Data Augmentation for Smishing Detection: A Theory-based Prompt Engineering Approach}},
booktitle = {{Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024}},
pages = {1327--1328},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589335.3651903},
doi = {https://doi.org/10.1145/3589335.3651903}
}