7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.SD2022
SpecRNet: Towards Faster and More Accessible Audio DeepFake Detection
Piotr Kawa, Marcin Plata, Piotr Syga
Audio DeepFakes are utterances generated with the use of deep neural networks. They are highly misleading and pose a threat due to use in fake news, impersonation, or extortion. In…
cs.CV2020★ 7 cited
A Note on Deepfake Detection with Low-Resources
Piotr Kawa, Piotr Syga
Deepfakes are videos that include changes, quite often substituting face of a portrayed individual with a different face using neural networks. Even though the technology gained it…
cs.MM2020★ 1 cited
Robust watermarking with double detector-discriminator approach
Marcin Plata, Piotr Syga
In this paper we present a novel deep framework for a watermarking - a technique of embedding a transparent message into an image in a way that allows retrieving the message from a…