30 citations · 54 across the 6 of their papers we have counts for
7 papers
Improved DeepFake Detection Using Whisper Features
Piotr Kawa, Marcin Plata, Michał Czuba +2
With a recent influx of voice generation methods, the threat introduced by audio DeepFake (DF) is ever-increasing. Several different detection methods have been presented as a coun…
Defense Against Adversarial Attacks on Audio DeepFake Detection
Piotr Kawa, Marcin Plata, Piotr Syga
Audio DeepFakes (DF) are artificially generated utterances created using deep learning, with the primary aim of fooling the listeners in a highly convincing manner. Their quality i…
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…
Attack Agnostic Dataset: Towards Generalization and Stabilization of Audio DeepFake Detection
Piotr Kawa, Marcin Plata, Piotr Syga
Audio DeepFakes allow the creation of high-quality, convincing utterances and therefore pose a threat due to its potential applications such as impersonation or fake news. Methods…
End-to-End Unsupervised Document Image Blind Denoising
Mehrdad J Gangeh, Marcin Plata, Hamid Motahari +1
Removing noise from scanned pages is a vital step before their submission to the optical character recognition (OCR) system. Most available image denoising methods are supervised w…
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…
Robust Spatial-spread Deep Neural Image Watermarking
Marcin Plata, Piotr Syga
Watermarking is an operation of embedding an information into an image in a way that allows to identify ownership of the image despite applying some distortions on it. In this pape…