Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models
- DOI
- 10.1109/tpami.2026.3729971
- Published
- 2026
- Container
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tpami.2026.3729971,
title = {Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models},
author = {Zhifang Zhang and Jiahan Zhang and Shengjie Zhou and Qi Wei and Shuo He and Feng Liu and Lei Feng},
year = {2026},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
doi = {10.1109/tpami.2026.3729971},
url = {https://doi.org/10.1109/tpami.2026.3729971}
}RIS
TY - JOUR TI - Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models AU - Zhifang Zhang AU - Jiahan Zhang AU - Shengjie Zhou AU - Qi Wei AU - Shuo He AU - Feng Liu AU - Lei Feng PY - 2026 JO - IEEE Transactions on Pattern Analysis and Machine Intelligence DO - 10.1109/tpami.2026.3729971 UR - https://doi.org/10.1109/tpami.2026.3729971 ER -
APA
Zhang, Z., Zhang, J., Zhou, S., Wei, Q., He, S., Liu, F., & Feng, L. (2026). Improving Generalizability and Undetectability for Targeted Adversarial Attacks on Multimodal Pre-trained Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2026.3729971
Source records
- crossref · retrieved 2026-09-25T03:00:00.324Z