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Josephine Passananti

7 papers hereh-index 7495 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.CR3

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedNightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models

13 citations · 23 across the 6 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

Disrupting Style Mimicry Attacks on Video Imagery

Josephine Passananti, Stanley Wu, Shawn Shan +2

Generative AI models are often used to perform mimicry attacks, where a pretrained model is fine-tuned on a small sample of images to learn to mimic a specific artist of interest.…

cs.CV2024★ 8 cited

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

Anna Yoo Jeong Ha, Josephine Passananti, Ronik Bhaskar +4

The advent of generative AI images has completely disrupted the art world. Distinguishing AI generated images from human art is a challenging problem whose impact is growing over t…

cs.CV2022

Natural Backdoor Datasets

Emily Wenger, Roma Bhattacharjee, Arjun Nitin Bhagoji +4

Extensive literature on backdoor poison attacks has studied attacks and defenses for backdoors using "digital trigger patterns." In contrast, "physical backdoors" use physical obje…

cs.CV2020

Backdoor Attacks Against Deep Learning Systems in the Physical World

Emily Wenger, Josephine Passananti, Arjun Bhagoji +3

Backdoor attacks embed hidden malicious behaviors into deep learning models, which only activate and cause misclassifications on model inputs containing a specific trigger. Existin…

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