Related papers: Nanoindentation and nanofriction on DLC films
This paper has being withdrawn by the authors due to an error in the conclusion.
In this paper, we highlight a critical threat posed by emerging neural models: data plagiarism. We demonstrate how modern neural models (e.g., diffusion models) can replicate copyrighted images, even when protected by advanced watermarking…
This paper has been withdrawn due to an error in figure 5.
This submission has been withdrawn by arXiv administrators because it contains excessive and unattributed reuse of content from other authors.
This paper has been withdrawn by the author(s), as required by JPC-Journal of Physical Chemistry for reasons of publication.
Wide deployment of deep neural networks (DNNs) based applications (e.g., style transfer, cartoonish), stimulating the requirement of copyright protection of such application's production. Although some traditional visible copyright…
Withdrawn by arXiv administration because the text and equations were plagiarized from chapter 10 of the BaBar Physics Book http://www.slac.stanford.edu/pubs/slacreports/slac-r-504.html See also hep-ph/0304045
This paper has been withdrawn by the authors after discussing its content with Dr. J. Madsen.
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Novel low index (n less than 1.3)/high light trapping cladding films consisting of nanoporous alumina (sapphire), as formed by controlled anodization of aluminum, are described. These films are mechanically hard, intrinsically very…
This paper has been withdrawn by the authors. Because of a misunderstanding, the paper was submitted prematurely to the arXiv. A replacement will follow.
This paper has been withdrawn by the authors.
This paper has been removed by arXiv administrators because it plagiarizes hep-th/0311050, gr-qc/0306101, gr-qc/9601044, gr-qc/0412111, hep-th/9604047, and gr-qc/0212018.
This paper has been withdrawn by the authour.
This paper was withdrawn by arXiv administrators. It is an erroneous duplicate submission of math.NA/0405095.
This paper has been withdrawn by the author. A revised and expanded version is gr-qc/9907028 (Phys.Rev. D60 (1999) 104043).
This submission has been withdrawn by the authors because it is a duplicate of arXiv:hep-ph/0611336. It was due to a technical submission error by the authors.
Latent Diffusion Models (LDMs) enable a wide range of applications but raise ethical concerns regarding illegal utilization. Adding watermarks to generative model outputs is a vital technique employed for copyright tracking and mitigating…
Recent progress in diffusion models has profoundly enhanced the fidelity of image generation, but it has raised concerns about copyright infringements. While prior methods have introduced adversarial perturbations to prevent style…
This paper has been withdrawn, as it has been merged into arXiv:1009.6144