Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness

Huy Phan; Jinqi Xiao; Yang Sui; Tianfang Zhang; Zijie Tang; Cong Shi; Yan Wang; Yingying Chen; Bo Yuan

doi:10.1007/978-3-031-73027-6_16

Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness

Huy Phan
, Jinqi Xiao
, Yang Sui
, Tianfang Zhang
, Zijie Tang
, Cong Shi
, Yan Wang
, Yingying Chen
, Bo Yuan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Computer Vision – ECCV 2024 - 18th European Conference, Proceedings
Editors	Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	273-290
Number of pages	18
ISBN (Print)	9783031730269
DOIs	https://doi.org/10.1007/978-3-031-73027-6_16
State	Published - 2025
Externally published	Yes
Event	18th European Conference on Computer Vision, ECCV 2024 - Milan, Italy Duration: Sep 29 2024 → Oct 4 2024

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	15118 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th European Conference on Computer Vision, ECCV 2024
Country/Territory	Italy
City	Milan
Period	9/29/24 → 10/4/24

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-73027-6_16

Cite this

Phan, H., Xiao, J., Sui, Y., Zhang, T., Tang, Z., Shi, C., Wang, Y., Chen, Y., & Yuan, B. (2025). Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. In A. Leonardis, E. Ricci, S. Roth, O. Russakovsky, T. Sattler, & G. Varol (Eds.), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings (pp. 273-290). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15118 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-73027-6_16

Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. / Phan, Huy; Xiao, Jinqi; Sui, Yang et al.
Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. ed. / Aleš Leonardis; Elisa Ricci; Stefan Roth; Olga Russakovsky; Torsten Sattler; Gül Varol. Springer Science and Business Media Deutschland GmbH, 2025. p. 273-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 15118 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Phan, H, Xiao, J, Sui, Y, Zhang, T, Tang, Z, Shi, C, Wang, Y, Chen, Y & Yuan, B 2025, Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. in A Leonardis, E Ricci, S Roth, O Russakovsky, T Sattler & G Varol (eds), Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 15118 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 273-290, 18th European Conference on Computer Vision, ECCV 2024, Milan, Italy, 9/29/24. https://doi.org/10.1007/978-3-031-73027-6_16

Phan H, Xiao J, Sui Y, Zhang T, Tang Z, Shi C et al. Clean and Compact: Efficient Data-Free Backdoor Defense with Model Compactness. In Leonardis A, Ricci E, Roth S, Russakovsky O, Sattler T, Varol G, editors, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2025. p. 273-290. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-73027-6_16

Phan, Huy ; Xiao, Jinqi ; Sui, Yang et al. / Clean and Compact : Efficient Data-Free Backdoor Defense with Model Compactness. Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. editor / Aleš Leonardis ; Elisa Ricci ; Stefan Roth ; Olga Russakovsky ; Torsten Sattler ; Gül Varol. Springer Science and Business Media Deutschland GmbH, 2025. pp. 273-290 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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