"DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector."

Akshay Agarwal et al. (2022)

> Home

Details and statistics

DOI: 10.1109/TNNLS.2021.3051529

access: closed

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tnn/AgarwalGVSR22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnn/AgarwalGVSR22
Akshay Agarwal, Gaurav Goswami, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3277-3289 (2022)

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.