"Adversarial Transferability in Deep Denoising Models: Theoretical Insights ..."

Jie Ning et al. (2025)

> Home

Details and statistics

DOI: 10.1137/24M1716021

access: closed

type: Journal Article

metadata version: 2025-09-07

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/siamis/NingSSGLLW25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/siamis/NingSSGLLW25
Jie Ning, Jiebao Sun, Shengzhu Shi, Zhichang Guo, Yao Li, Hongwei Li, Boying Wu:
Adversarial Transferability in Deep Denoising Models: Theoretical Insights and Robustness Enhancement via Out-of-Distribution Typical Set Sampling. SIAM J. Imaging Sci. 18(3): 1788-1827 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.