Removing rows from dataframe that occurs in another dataframe

I have a problem with removing rows from dataframe that occurs in another dataframe.
Below simple example and expected results.

df1

df2

Expected output, df2 but rows that occur in df1 are dropped.

new df2:

Edit: I need to match both A and B.

>Solution :

IIUC, you can use a reverse merge with help of indicator=True:

(df2
 .merge(df1, how='left', indicator=True) # if unrelated columns use on=['A', 'B']
 .loc[lambda d: d.pop('_merge').eq('left_only')]
)

output:

    A   B
0  DD  66
3  CC  55