Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Adaptive penalty multipliers #31

Open
GeoffNN opened this issue Dec 9, 2020 · 0 comments
Open

Adaptive penalty multipliers #31

GeoffNN opened this issue Dec 9, 2020 · 0 comments

Comments

@GeoffNN
Copy link
Contributor

GeoffNN commented Dec 9, 2020

Similar to the Carlini & Wagner attack, we'd like the alpha to be defined datapoint wise in the penalty constraints.
Ideally, given a datapoint we should be able to perform binary search to find the smallest alpha which swings a label for a given adversary.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant