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Privacy Distillation: Reducing Re-identification Risk of Multimodal
  Diffusion Models

Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models

2 June 2023
Virginia Fernandez
Pedro Sanchez
W. H. Pinaya
Grzegorz Jacenków
Sotirios A. Tsaftaris
Jorge Cardoso
ArXivPDFHTML

Papers citing "Privacy Distillation: Reducing Re-identification Risk of Multimodal Diffusion Models"

15 / 15 papers shown
Title
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling
Nimrod Berman
Ilan Naiman
Moshe Eliasof
Hedi Zisling
Omri Azencot
DiffM
OffRL
18
0
0
19 May 2025
RELICT: A Replica Detection Framework for Medical Image Generation
RELICT: A Replica Detection Framework for Medical Image Generation
O. U. Aydin
Alexander Koch
A. Hilbert
Jana Rieger
Felix Lohrke
F. Ishida
Satoru Tanioka
D. Frey
MedIm
54
0
0
24 Feb 2025
Attacks and Defenses for Generative Diffusion Models: A Comprehensive
  Survey
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
V. T. Truong
Luan Ba Dang
Long Bao Le
DiffM
MedIm
56
16
0
06 Aug 2024
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
MemControl: Mitigating Memorization in Diffusion Models via Automated Parameter Selection
Raman Dutt
Pedro Sanchez
Ondrej Bohdal
Sotirios A. Tsaftaris
Timothy M. Hospedales
MedIm
36
0
0
29 May 2024
From Pixel to Cancer: Cellular Automata in Computed Tomography
From Pixel to Cancer: Cellular Automata in Computed Tomography
Yuxiang Lai
Xiaoxi Chen
Angtian Wang
Alan Yuille
Zongwei Zhou
MedIm
56
12
0
11 Mar 2024
RadEdit: stress-testing biomedical vision models via diffusion image
  editing
RadEdit: stress-testing biomedical vision models via diffusion image editing
Fernando Pérez-García
Sam Bond-Taylor
Pedro P. Sanchez
B. V. Breugel
Daniel Coelho De Castro
...
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
Maximilian Ilse
MedIm
43
8
0
20 Dec 2023
Black-box Membership Inference Attacks against Fine-tuned Diffusion
  Models
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models
Yan Pang
Tianhao Wang
30
18
0
13 Dec 2023
SoK: Memorisation in machine learning
SoK: Memorisation in machine learning
Dmitrii Usynin
Moritz Knolle
Georgios Kaissis
25
1
0
06 Nov 2023
White-box Membership Inference Attacks against Diffusion Models
White-box Membership Inference Attacks against Diffusion Models
Yan Pang
Tianhao Wang
Xu Kang
Mengdi Huai
Yang Zhang
AAML
DiffM
46
22
0
11 Aug 2023
On the Design Fundamentals of Diffusion Models: A Survey
On the Design Fundamentals of Diffusion Models: A Survey
Ziyi Chang
George Alex Koulieris
Hubert P. H. Shum
DiffM
29
54
0
07 Jun 2023
Can segmentation models be trained with fully synthetically generated
  data?
Can segmentation models be trained with fully synthetically generated data?
Virginia Fernandez
W. H. Pinaya
Pedro Borges
Petru-Daniel Tudosiu
M. Graham
Tom Kamiel Magda Vercauteren
M. Jorge Cardoso
DiffM
MedIm
51
45
0
17 Sep 2022
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
107
287
0
15 Sep 2022
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,805
0
24 Feb 2021
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
59
186
0
17 Feb 2021
Synthetic Data: Opening the data floodgates to enable faster, more
  directed development of machine learning methods
Synthetic Data: Opening the data floodgates to enable faster, more directed development of machine learning methods
James Jordon
A. Wilson
M. Schaar
AI4CE
87
16
0
08 Dec 2020
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