Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models

Ziyi Kou; Shichao Pei; Yijun Tian; Xiangliang Zhang

doi:10.24963/ijcai.2023/109

Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models

Ziyi Kou
, Shichao Pei
, Yijun Tian
, Xiangliang Zhang

Computer Science

University of Notre Dame

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

Original language	English
Title of host publication	Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Editors	Edith Elkind
Publisher	International Joint Conferences on Artificial Intelligence
Pages	983-990
Number of pages	8
ISBN (Electronic)	9781956792034
DOIs	https://doi.org/10.24963/ijcai.2023/109
State	Published - 2023
Event	32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 - Macao, China Duration: Aug 19 2023 → Aug 25 2023

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
Volume	2023-August
ISSN (Print)	1045-0823

Conference

Conference	32nd International Joint Conference on Artificial Intelligence, IJCAI 2023
Country/Territory	China
City	Macao
Period	8/19/23 → 8/25/23

ASJC Scopus Subject Areas

Artificial Intelligence

Access to Document

10.24963/ijcai.2023/109

Cite this

Kou, Z., Pei, S., Tian, Y., & Zhang, X. (2023). Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. In E. Elkind (Ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023 (pp. 983-990). (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2023/109

Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. / Kou, Ziyi; Pei, Shichao; Tian, Yijun et al.
Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. ed. / Edith Elkind. International Joint Conferences on Artificial Intelligence, 2023. p. 983-990 (IJCAI International Joint Conference on Artificial Intelligence; Vol. 2023-August).

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

Kou, Z, Pei, S, Tian, Y & Zhang, X 2023, Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. in E Elkind (ed.), Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. IJCAI International Joint Conference on Artificial Intelligence, vol. 2023-August, International Joint Conferences on Artificial Intelligence, pp. 983-990, 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023, Macao, China, 8/19/23. https://doi.org/10.24963/ijcai.2023/109

Kou Z, Pei S, Tian Y, Zhang X. Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. In Elkind E, editor, Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. International Joint Conferences on Artificial Intelligence. 2023. p. 983-990. (IJCAI International Joint Conference on Artificial Intelligence). doi: 10.24963/ijcai.2023/109

Kou, Ziyi ; Pei, Shichao ; Tian, Yijun et al. / Character As Pixels : A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. Proceedings of the 32nd International Joint Conference on Artificial Intelligence, IJCAI 2023. editor / Edith Elkind. International Joint Conferences on Artificial Intelligence, 2023. pp. 983-990 (IJCAI International Joint Conference on Artificial Intelligence).

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Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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