Scholar
Stanley Wu
Google Scholar ID: wkis3pgAAAAJ
PhD Student, University of Chicago
Citations & Impact
Citations
192
H-index
6
i10-index
4
Publications
11
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers published:
- - 2025: Paper on diffusion model poisoning via VLM adversarial examples accepted to CCS '25
- - 2024: Disrupting Style Mimicry Attacks on Video Imagery, preprint
- - 2024: Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative Models, IEEE Symposium on Security and Privacy (Oakland)
- - 2024: TMI! Finetuned Models Leak Private Information from their Pretraining Data, Privacy Enhancing Technologies Symposium (PETS)
- - 2023: How to Combine Membership-Inference Attacks on Multiple Updated Models, Privacy Enhancing Technologies Symposium (PETS)
Research Experience
- Before joining the University of Chicago, he spent an excellent year working as a data scientist for Klaviyo.
Education
- Received a bachelor's degree in computer science from Northeastern University in 2023, during which he worked with Alina Oprea and Jonathan Ullman; currently a 3rd year Ph.D. student at the University of Chicago SAND Lab, co-advised by Ben Zhao and Heather Zheng.
Background
- Primary academic interest lies in adversarial machine learning, with a particular focus on security issues with generative AI. Recently, he has been studying the safety limitations of generative models and developing methods to protect human creatives against intrusive training.
Miscellany
- His personal website includes links to his Google Scholar, LinkedIn, GitHub, Twitter, and goodreads accounts.
Co-authors