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Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative
  Privacy Risk

Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk

14 March 2024
Zhangheng Li
Junyuan Hong
Bo-wen Li
Zhangyang Wang
    DiffM
ArXivPDFHTML

Papers citing "Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk"

5 / 5 papers shown
Title
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
66
1
0
09 Oct 2024
Differentially Private Kernel Density Estimation
Differentially Private Kernel Density Estimation
Erzhi Liu
Jerry Yao-Chieh Hu
Alex Reneau
Zhao Song
Han Liu
53
3
0
03 Sep 2024
Hide and Seek: How Does Watermarking Impact Face Recognition?
Hide and Seek: How Does Watermarking Impact Face Recognition?
Yuguang Yao
Steven Grosz
Sijia Liu
Anil K. Jain
32
1
0
29 Apr 2024
Brain Imaging Generation with Latent Diffusion Models
Brain Imaging Generation with Latent Diffusion Models
W. H. Pinaya
Petru-Daniel Tudosiu
J. Dafflon
P. F. D. Costa
Virginia Fernandez
P. Nachev
Sebastien Ourselin
M. Jorge Cardoso
DiffM
MedIm
87
275
0
15 Sep 2022
Differentially Private Fine-tuning of Language Models
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
344
0
13 Oct 2021
1