How to Hide a Clique?

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Uriel Feige, Vadim Grinberg
{"title":"How to Hide a Clique?","authors":"Uriel Feige, Vadim Grinberg","doi":"10.1007/s00224-024-10167-x","DOIUrl":null,"url":null,"abstract":"<p>In the well known planted clique problem, a clique (or alternatively, an independent set) of size <i>k</i> is planted at random in an Erdos-Renyi random <i>G</i>(<i>n</i>, <i>p</i>) graph, and the goal is to design an algorithm that finds the maximum clique (or independent set) in the resulting graph. We introduce a variation on this problem, where instead of planting the clique at random, the clique is planted by an adversary who attempts to make it difficult to find the maximum clique in the resulting graph. We show that for the standard setting of the parameters of the problem, namely, a clique of size <span>\\(k = \\sqrt{n}\\)</span> planted in a random <span>\\(G(n, \\frac{1}{2})\\)</span> graph, the known polynomial time algorithms can be extended (in a non-trivial way) to work also in the adversarial setting. In contrast, we show that for other natural settings of the parameters, such as planting an independent set of size <span>\\(k=\\frac{n}{2}\\)</span> in a <i>G</i>(<i>n</i>, <i>p</i>) graph with <span>\\(p = n^{-\\frac{1}{2}}\\)</span>, there is no polynomial time algorithm that finds an independent set of size <i>k</i>, unless NP has randomized polynomial time algorithms.</p>","PeriodicalId":22832,"journal":{"name":"Theory of Computing Systems","volume":null,"pages":null},"PeriodicalIF":0.6000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theory of Computing Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1007/s00224-024-10167-x","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0

Abstract

In the well known planted clique problem, a clique (or alternatively, an independent set) of size k is planted at random in an Erdos-Renyi random G(np) graph, and the goal is to design an algorithm that finds the maximum clique (or independent set) in the resulting graph. We introduce a variation on this problem, where instead of planting the clique at random, the clique is planted by an adversary who attempts to make it difficult to find the maximum clique in the resulting graph. We show that for the standard setting of the parameters of the problem, namely, a clique of size \(k = \sqrt{n}\) planted in a random \(G(n, \frac{1}{2})\) graph, the known polynomial time algorithms can be extended (in a non-trivial way) to work also in the adversarial setting. In contrast, we show that for other natural settings of the parameters, such as planting an independent set of size \(k=\frac{n}{2}\) in a G(np) graph with \(p = n^{-\frac{1}{2}}\), there is no polynomial time algorithm that finds an independent set of size k, unless NP has randomized polynomial time algorithms.

如何隐藏小团体?
在众所周知的 "植入小块 "问题中,一个大小为 k 的小块(或独立集)被随机植入一个 Erdos-Renyi 随机 G(n, p) 图中,目标是设计一种算法,在生成的图中找到最大的小块(或独立集)。我们在这个问题上引入了一个变种,即不是随机植入一个小块,而是由对手植入一个小块,试图让我们很难在结果图中找到最大小块。我们证明,对于问题参数的标准设置,即在随机的 \(G(n, \frac{1}{2})\) 图中植入一个大小为 \(k = \sqrt{n}\) 的簇,已知的多项式时间算法可以(以一种非微妙的方式)扩展到在对抗设置中也能工作。与此相反,我们证明,对于参数的其他自然设置,例如在一个具有 \(p = n^{-\frac{1}{2}\) 的 G(n, p) 图中种植大小为 \(k=\frac{n}{2}\) 的独立集,除非 NP 有随机多项式时间算法,否则不存在找到大小为 k 的独立集的多项式时间算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Theory of Computing Systems
Theory of Computing Systems 工程技术-计算机:理论方法
CiteScore
1.90
自引率
0.00%
发文量
36
审稿时长
6-12 weeks
期刊介绍: TOCS is devoted to publishing original research from all areas of theoretical computer science, ranging from foundational areas such as computational complexity, to fundamental areas such as algorithms and data structures, to focused areas such as parallel and distributed algorithms and architectures.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信