In this project we aim to study the effects of reactive and proactive attacks as an adversarial defense particularly ona base reactive defense (PCL as termed in paper refer) that maximally separates features in intermediate layers in a deep learning model. Also, we study the effects of image transformations on feature space and adversarial example transferability.
-
Notifications
You must be signed in to change notification settings - Fork 1
n this project we aim to study the effects of reactive andproactive attacks as an adversarial defense particularly ona base reactive defense(PCL as termed in paperrefer) thatmaximally separates features in intermediate layers in adeep learning model. Also, we study the effects of imagetransformations on feature space and adversarial exampletrans…
pankhurivanjani/Proactive-and-Reactive-Measures-for-Adversarial-Defense
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
n this project we aim to study the effects of reactive andproactive attacks as an adversarial defense particularly ona base reactive defense(PCL as termed in paperrefer) thatmaximally separates features in intermediate layers in adeep learning model. Also, we study the effects of imagetransformations on feature space and adversarial exampletrans…
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published