7 citations · 18 across the 6 of their papers we have counts for
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cs.CR2023★ 1 cited
Don't FREAK Out: A Frequency-Inspired Approach to Detecting Backdoor Poisoned Samples in DNNs
Hasan Abed Al Kader Hammoud, Adel Bibi, Philip H. S. Torr +1
In this paper we investigate the frequency sensitivity of Deep Neural Networks (DNNs) when presented with clean samples versus poisoned samples. Our analysis shows significant disp…
cs.CR2021★ 7 cited
Check Your Other Door! Creating Backdoor Attacks in the Frequency Domain
Hasan Abed Al Kader Hammoud, Bernard Ghanem
Deep Neural Networks (DNNs) are ubiquitous and span a variety of applications ranging from image classification to real-time object detection. As DNN models become more sophisticat…