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Downstream-agnostic Adversarial Examples

conference contribution
posted on 2025-11-05, 23:06 authored by Z Zhou, S Hu, R Zhao, Q Wang, Leo ZhangLeo Zhang, J Hou, H Jin
Downstream-agnostic Adversarial Examples<p></p>

Funding

Shengshan's work is supported in part by the National Natural Science Foundation of China (Grant No.U20A20177) and Hubei Province Key R&D Technology Special Innovation Project under Grant No.2021BAA032. Qian's work is supported in part by the National Natural Science Foundation of China under Grants U20B2049 and U21B2018. Shengshan Hu is the corresponding author.

Funder: National Natural Science Foundation of China | Grant ID: U20B2049

Funder: National Natural Science Foundation of China | Grant ID: U21B2018

Funder: National Natural Science Foundation of China | Grant ID: U20A20177

Funder: Hubei Province Key R&D Technology Special Innovation Project | Grant ID: 2021BAA032

History

Related Materials

  1. 1.
    DOI - Is version of https://doi.org/10.1109/ICCV51070.2023.00401

Location

Paris, France

Open access

  • No

Language

eng

Volume

00

Pagination

4322-4332

Start date

2023-10-01

End date

2023-10-06

ISSN

1550-5499

eISSN

2380-7504

ISBN-13

979-8-3503-0718-4

Title of proceedings

ICCV 2023 : Proceedings of the IEEE/CVF International Conference on Computer Vision 2023

Event

IEEE/CVF Computer Vision. Conference (2023 : Paris, France)

Publisher

IEEE

Series

IEEE International Conference on Computer Vision

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    Categories

    Keywords

    Computer ScienceComputer Science, Artificial IntelligenceComputer Science, Theory & MethodsImaging Science & Photographic TechnologyScience & TechnologyTechnology

    Licence

    All Rights Reserved

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