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PoPETs/PETS — 18 websites ranked by shared content topics, category and on-page relevance.

Each result shows its full tech stack, contacts and AI-policy — not just a name · Browse all sites in Technology and Computing →

DomainMatchTitleCountry/LangCategoryAI filesContactAI-protection
iacr.org 100* match The International Association for Cryptologic Research en Information and Network Security none
computer.org 63* match IEEE Computer Society en Technology and ComputingWordPress none
dblp.org 47* match dblp: computer science bibliography en Technology and ComputingWordPress robots email none
sigplan.org 45* match SIGPLAN en Programming Languages robots none
ietf.org 34* match IETF | Internet Engineering Task Force en Computer Networking none
torproject.org 29* match Tor Project | Anonymity Online en Information and Network Security none
github.io 28* match GitHub Pages | Websites for you and your projects, hosted directly from your GitHub repository. Just edit, push, and your changes are live. en Web Development none
inria.fr 28* match Accueil | Inria France fr Artificial IntelligenceDrupal robots none
arxiv.org 25* match arXiv.org e-Print archive en Science robots none
theregister.com 20* match Technology news and analysis | The Register en Technology Industry robots full · 20
dagstuhl.de 18* match Home Germany de Education none
cmu.edu 17* match Carnegie Mellon University | CMU en College EducationDrupal phone none
berkeley.edu 14* match University of California, Berkeley: Home en College EducationWordPress none
nyu.edu 13* match New York University en College EducationAdobe Experience Manager none
uni-trier.de 12* match Willkommen | Universität Trier Germany de College EducationTYPO3 none
epfl.ch 12* match EPFL Switzerland fr College EducationWordPress phone none
mit.edu 12* match MIT - Massachusetts Institute of Technology en College Education none
wpconsent.com 11* match WPConsent - Cookie Consent Management Plugin for WordPress en Technology and ComputingWordPressWooCommerce robotsllms none

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

  • shared topics how many of the same fine‑grained content topics (IAB sub‑categories) both sites cover — the main signal.
  • same category whether they sit in the same business / industry category.
  • content & title how closely their titles and page descriptions line up in wording and meaning.

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.