You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
f(c(x)) = y
f is the classifier; c is the corruption function; x is the original image
before corruption; if f(c(x)) = y, then that means the classifier f
correctly classified the corrupted image c(x)
On Sun, May 29, 2022 at 11:28 PM wetliu ***@***.***> wrote:
Hello. Thank you for the great work.
Should the equation defining the corruption robustness be
Ec∼C[P(x,y)∼D(f(c(x)) = y)] instead of Ec∼C[P(x,y)∼D(f(c(x) = y))]?
If it is not, would you mind explaining what it means by c(x) = y?
Thank you so much!
—
Reply to this email directly, view it on GitHub
<#56>, or unsubscribe
<https://github.com/notifications/unsubscribe-auth/ACZBITVCNIIRM2LV35YWTBLVMRNW5ANCNFSM5XJOSPJA>
.
You are receiving this because you are subscribed to this thread.Message
ID: ***@***.***>
Hello. Thank you for the great work.
Should the equation defining the corruption robustness be Ec∼C[P(x,y)∼D(f(c(x)) = y)] instead of Ec∼C[P(x,y)∼D(f(c(x) = y))]?
If it should not, would you mind explaining what it means by c(x) = y?
Thank you so much!
The text was updated successfully, but these errors were encountered: