Josephine Passananti

Publications

(*) indicates co-first authorship

CCS
2024

Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?

Anna Yoo Jeong Ha*, Josephine Passananti*, Ronik Bhaskar, Shawn Shan, Reid Southen, Haitao Zheng, Ben Y. Zhao ACM Conference on Computer and Communications Security, October 2024 Distinguished Paper Award

PDF

IEEE S&P
2024

Nightshade: Prompt-specific poisoning attacks on text-to-image generative models

Shawn Shan, Wenxin Ding, Josephine Passananti, Haitao Zheng, Ben Y. Zhao Proceedings of 45th IEEE Symposium on Security and Privacy, May 2024

PDF Website

NeurIPS
2022

Finding Naturally Occurring Physical Backdoors in Image Datasets

Emily Wenger*, Roma Bhattacharjee*, Arjun Bhagoji, Josephine Passananti, Emilio Andere, Haitao Zheng, Ben Y. Zhao Proceedings of the 36th Conference on Neural Information Processing Systems, November 2022

PDF Code

CVPR
2021

Backdoor Attacks Against Deep Learning Systems in the Physical World

Emily Wenger, Josephine Passananti, Arjun Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao Proceedings of IEEE/CVF Computer Vision and Pattern Recognition Conference, June 2021

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Invited Talks

CSCW
2025

Preventing Non-Consensual Use of Undress AI

CSCW Co-Constructing the Future of Digital Intimacy Workshop - Lightning Talk Bergen, Norway

Slides

CHI
2024

Forging an HCI Research Agenda with Artists Impacted by Generative AI

ACM SIGCHI - Invited Panelist Yokohama, Japan

RLUK
2024

Glaze/Nightshade: Protecting Artists from Misused AI

Research Libraries UK + Digital Library Federation Panel on Critical AI Literacy - Invited Panelist RLUK / DLF

CCS
2024

Organic or Diffused: Can We Distinguish Human Art from AI-generated Images?

ACM Conference on Computer and Communications Security - Distinguished Paper Award Salt Lake City, UT