DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck
Crossref DOI link: https://doi.org/10.1007/s40747-024-01522-z
Published Online: 2024-06-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Wang, Yang http://orcid.org/0000-0002-4514-2534
Zheng, Yunfei
Chen, Lei
Yang, Zhen
Cao, Tieyong
Funding for this research was provided by:
National Natural Science Foundation of China (61801512, 62071484)
Text and Data Mining valid from 2024-06-22
Version of Record valid from 2024-06-22
Article History
Received: 13 November 2023
Accepted: 1 June 2024
First Online: 22 June 2024