@InProceedings{elkinkoren_et_al:LIPIcs.FORC.2024.3,
author = {Elkin-Koren, Niva and Hacohen, Uri and Livni, Roi and Moran, Shay},
title = {{Can Copyright Be Reduced to Privacy?}},
booktitle = {5th Symposium on Foundations of Responsible Computing (FORC 2024)},
pages = {3:1--3:18},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-319-5},
ISSN = {1868-8969},
year = {2024},
volume = {295},
editor = {Rothblum, Guy N.},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.FORC.2024.3},
URN = {urn:nbn:de:0030-drops-200866},
doi = {10.4230/LIPIcs.FORC.2024.3},
annote = {Keywords: Copyright, Privacy, Generative Learning}
}
The metadata provided by Dagstuhl Publishing on its webpages, as well as their export formats (such as XML or BibTeX) available at our website, is released under the CC0 1.0 Public Domain Dedication license. That is, you are free to copy, distribute, use, modify, transform, build upon, and produce derived works from our data, even for commercial purposes, all without asking permission. Of course, we are always happy if you provide a link to us as the source of the data.
Read the full CC0 1.0 legal code for the exact terms that apply: https://creativecommons.org/publicdomain/zero/1.0/legalcode