Results 131 to 140 of about 2,758 (196)

Protein design, generative AI and biological security. [PDF]

Front Microbiol
Brackmann M, Reiners S, Hoogendoorn M, Moser M.   +3 more
europepmc   +1 more source

Open access and digital morphology data in evolutionary biology: expanding frontiers of knowledge. [PDF]

BMC Ecol Evol
De Leo N, Michaud M, Maiorano L, Meloro C, Chatar N, Tamagnini D.   +5 more
europepmc   +1 more source

Screen shooting resistant watermarking based on cross attention. [PDF]

Sci Rep
Liu L, Xu P, Xue Q.
europepmc   +1 more source

Charting Truth, Trust, and Transformers: A Critical Look at AI Text Detection and Recommendations for Medical Journals. [PDF]

J Patient Cent Res Rev
Mudipalli H, Milburn M, Saha S, Fairclough J.   +3 more
europepmc   +1 more source

Spread Spectrum Image Watermarking Through Latent Diffusion Model. [PDF]

Entropy (Basel)
Wu H, Lin X, Tan G.
europepmc   +1 more source

ArtUnmasked: A Multimodal Classifier for Real, AI, and Imitated Artworks. [PDF]

J Imaging
Chidrawar A, Bajwa G.
europepmc   +1 more source

Detecting LLM-generated peer reviews. [PDF]

PLoS One
Rao VS, Kumar A, Lakkaraju H, Shah NB.
europepmc   +1 more source

ECG Sensor Design Assessment with Variational Autoencoder-Based Digital Watermarking. [PDF]

Sensors (Basel)
Hsu CY, Chang CY, Chen YC, Wu J, Chen ST.   +4 more
europepmc   +1 more source

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Watermarking Neural Networks With Watermarked Images

IEEE Transactions on Circuits and Systems for Video Technology, 2021
Watermarking neural networks is a quite important means to protect the intellectual property (IP) of neural networks. In this paper, we introduce a novel digital watermarking framework suitable for deep neural networks that output images as the results, in which any image outputted from a watermarked neural network must contain a certain watermark ...
Hanzhou Wu, Gen Liu 0002, Yuwei Yao, Xinpeng Zhang 0001   +3 more
openaire   +1 more source

The Multi-Watermarks Attack of DNN Watermarking

2020 4th International Conference on Advances in Image Processing, 2020
Deep learning models are widely used in business scenarios and have achieved some success. It is usually time or computing consuming to build a production-level deep learning model. As a result, such models require copyright protection by watermarks. So the security of watermarks is important.
Deyin Li, Yu Yang 0005
openaire   +1 more source