Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs
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Qian, Yaguan 
ORCID: 0000-0003-4056-9755, Chen, Kecheng ORCID: 0009-0008-5970-7402, Wang, Bin, Gu, Zhaoquan ORCID: 0000-0001-7546-852X, Ji, Shouling ORCID: 0000-0003-4268-372X, Wang, Wei ORCID: 0000-0002-5974-1589 and Zhang, Yanchun ORCID: 0000-0002-5094-5980
(2024)
Enhancing Transferability of Adversarial Examples Through Mixed-Frequency Inputs.
IEEE Transactions on Information Forensics and Security, 19.
pp. 7633-7645.
ISSN 1556-6013
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| Item type | Article |
| URI | https://vuir.vu.edu.au/id/eprint/48988 |
| DOI | 10.1109/TIFS.2024.3430508 |
| Official URL | https://ieeexplore.ieee.org/document/10602524 |
| Subjects | Current > FOR (2020) Classification > 4604 Cybersecurity and privacy Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Download/View statistics | View download statistics for this item |
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