Replies: 1 comment
-
Brief summary of the problem statement:Machine learning models are typically trained using vast amounts of data, which remains embedded within the model once it's trained. This data retention poses a significant security and privacy risk. If a machine learning model is ever compromised, the data it was trained on becomes vulnerable to unauthorized access or theft. |
Beta Was this translation helpful? Give feedback.
0 replies
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Uh oh!
There was an error while loading. Please reload this page.
-
Text from the link
Link for the reference: https://arxiv.org/abs/2209.02299
@Chiragkj @veerasagar
Beta Was this translation helpful? Give feedback.
All reactions