Skip to content

We propose a novel test-time method that modestly protects models with or without adversarial training. We also propose minor improvements to PGD training.

Notifications You must be signed in to change notification settings

kianzohoury/cs182-cv-report

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

15 Commits
 
 
 
 
 
 

Repository files navigation

CS 182/282: Test-Time Search Methods for Adversarial Robustness

Final project report for UC Berkeley's CS 182/282 course. Note that the accompanying code for this report is private due to the course's policy on publishing code.

About

We propose a novel test-time method that modestly protects models with or without adversarial training. We also propose minor improvements to PGD training.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published