Related papers: P versus UP
The paper is taken out.
Withdrawn by arXiv administration. This article was plagiarised directly from http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5061961 , which appeared in the conference INFOCOM 2009.
Withdrawn by arXiv administration because authors have forged affiliations and acknowledgements, and have not adequately responded to charges [hep-th/9912039] of unattributed use of verbatim material.
This paper has been withdrawn by the author due to incomplete interpretation for the results.
This paper has been withdrawn by the author due to an extended and largely modified version of the paper was published in arXiv (see arXiv:0807.3694, Disjoint minimal graphs).
Withdrawn by arXiv administration because the text and equations were plagiarized from chapters 1 and 6 of the BaBar Physics Book http://www.slac.stanford.edu/pubs/slacreports/slac-r-504.html See also hep-ph/0304045
This paper was withdrawn by arXiv administrators. It is an erroneous duplicate submission of math.NA/0405095.
This submission has been removed by arXiv administrators as the submitter did not have the right to agree to the license at the time of submission.
arXiv admin note: This submission has been withdrawn by arXiv administrators due to inflammatory content and unprofessional language
Social media platforms (SMPs) facilitate information sharing across varying levels of sensitivity. A crucial design decision for SMP administrators is the platform's identity policy, with some opting for real-name systems while others allow…
This article has been removed by arXiv administrators due to falsified authorship.
Withdrawn by arXiv administration because authors have forged affiliations and acknowledgements, and have not adequately responded to charges [hep-th/9912039] of unattributed use of verbatim material.
This paper has been withdrawn
This paper has been withdrawn by the author due to an error.
This paper has been removed by arXiv administrators because of excessive overlap with gr-qc/0506062.
An arXiv administrator withdrew this article because it is a duplicate of math/0608203.
This submission has been removed by arXiv administration because it was submitted in violation of copyright by HAL.
This paper has been withdrawn by the author(s). Please see arXiv:0711.3910 for revision.
This submission has been withdrawn by arXiv administration.
Training machine learning models with differential privacy (DP) limits an adversary's ability to infer sensitive information about the training data. It can be interpreted as a bound on adversary's capability to distinguish two adjacent…