Avery Ma, Amir-Massoud Farahmand
, Yangchen Pan, Philip Torr and Jindong Gu
Paper (2024)
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| Department: | Department of Computer Engineering and Software Engineering |
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| ISBN: | 9783031730337 |
| PolyPublie URL: | https://publications.polymtl.ca/63171/ |
| Conference Title: | 18th European Conference on Computer Vision (ECCV 2024) |
| Conference Location: | Milan, Italy |
| Conference Date(s): | 2024-09-29 - 2024-10-04 |
| Publisher: | Springer Nature |
| DOI: | 10.1007/978-3-031-73033-7_5 |
| Official URL: | https://doi.org/10.1007/978-3-031-73033-7_5 |
| Date Deposited: | 03 Mar 2025 18:46 |
| Last Modified: | 08 Apr 2025 14:42 |
| Cite in APA 7: | Ma, A., Farahmand, A.-M., Pan, Y., Torr, P., & Gu, J. (2024, September). Improving Adversarial Transferability via Model Alignment [Paper]. 18th European Conference on Computer Vision (ECCV 2024), Milan, Italy. https://doi.org/10.1007/978-3-031-73033-7_5 |
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