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1st Workshop on Cryptography Applied to Transparency Systems | CATS 2023 — 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 Information And Network Security →

Domain	Match	Title	Country/Lang	Category	AI files	Contact	AI-protection
cedarcrypt.org ↗	67 match 1 shared topics	Cedarcrypt 2026 — Applied Cryptography Summer School & Conference	en	information-and-network-security	robotsllmsaihumans	email phone	none
cybertransparencyforum.org ↗	66 match 1 shared topics	Cyber Transparency FORUM	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mcrypt.org ↗	66 match 1 shared topics	MCrypt Seminar in Cryptography	en	information-and-network-security	robotsllmsaihumans	emailphone	none
ccrypto.org ↗	66 match 1 shared topics	Cognitive Cryptography	en	information-and-network-security	robotsllmsaihumans	emailphone	none
cryptoserve.dev ↗	65 match 1 shared topics	CryptoServe - Enterprise Cryptography as a Service	en	information-and-network-security	robotsllmsaihumans	emailphone	none
mouha.be ↗	65 match 1 shared topics	Nicky Mouha – Researcher in Cryptography	Belgium en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
mintergraph.com ↗	65 match 1 shared topics	M Intergraph Systems \| IT Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	none
idemia-group.com ↗	65 match 1 shared topics	Leader in biometrics and cryptography \| IDEMIA	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
idemia.com ↗	65 match 1 shared topics	Leader in biometrics and cryptography \| IDEMIA	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
cryptoquantumsafe.com ↗	65 match 1 shared topics	QuantumSafe \| Post-Quantum Cryptography Solutions	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
crysm.net ↗	65 match 1 shared topics	Cryptographic Hashing & Security Tools \| CrysM.net	en	information-and-network-security WordPress	robotsllmsaihumans	emailphone	none
0dq.io ↗	65 match 1 shared topics	0 Day Quantum - Post-Quantum Cryptography Readiness	en	information-and-network-security	robotsllmsaihumans	emailphone	none
certificate-transparency.org ↗	65 match 1 shared topics	Certificate Transparency : Certificate Transparency	en	information-and-network-security	robotsllmsaihumans	emailphone	none
privca.com ↗	64 match 1 shared topics	Privca — Privacy requests with transparency	en	information-and-network-security	robotsllmsaihumans	emailphone	partial · 8
arpanetwork.io ↗	64 match 1 shared topics	Secure Computation Network for Blockchain-adapted Cryptography \| ARPA	en	information-and-network-security	robotsllmsaihumans	emailphone	none
simula-uib.com ↗	64 match 1 shared topics	Simula UiB – Advances the science of cryptography and information theory	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
simulauib.com ↗	64 match 1 shared topics	Simula UiB – Advances the science of cryptography and information theory	en	information-and-network-security WordPress WooCommerce	robotsllmsaihumans	emailphone	none
transition-asia.com ↗	64 match 1 shared topics	Transition Systems Asia - Home	en	information-and-network-security Weebly	robotsllmsaihumans	emailphone	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.