#dataanonymization — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #dataanonymization, aggregated by home.social.
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Có một tiện ích Chrome mới: **Paste Anonymizer** - tự động xóa thông tin nhạy cảm như email, số điện thoại, API key, mật khẩu khi dán. Người dùng có thể thêm chuỗi/từ khóa hoặc regex tùy chỉnh. Hoạt động trên mọi trang web có ô nhập liệu. Ưu điểm: Miễn phí, hỗ trợ nhanh chóng những sai sót đáng tiếc (ví dụ: dán thông tin vào AI). Hạn chế: Không xử lý tệp đính kèm.
#ChromeExtension #BảoMậtDữLiệu #PrivacyTech #TiệnÍchInternet #DataAnonymization #CyberSecurity #PhầnMềmMiễnPhí
https://www.reddit
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Think of online anonymity as being one person in a vast crowd. Every piece of personal information you reveal reduces the size of that crowd, the group of people you could plausibly be. For example, revealing your gender cuts the number of potential identities roughly in half.
One way to regain some anonymity is through deliberate disinformation. Suppose you share \(n\) independent yes/no facts about yourself, but intentionally flip \(k\) of them (without the attacker knowing which). In that case, you increase the number of identities consistent with your answers by a factor of \(C(n,k)\).
#OnlinePrivacy #DigitalAnonymity #InformationSecurity #CyberAwareness #PrivacyMatters #DigitalFootprint #DataProtection #InformationTheory #Anonymity #PrivacyEngineering #DataAnonymization #Disinformation #Combinatorics #SecurityResearch #ThinkBeforeYouShare #OnlineIdentity #PrivacyByDesign #DigitalEthics #ProtectYourData #InternetSafety #Privacy #CyberSecurity #Infosec #DataPrivacy #OnlineSafety #SecurityMindset
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Think of online anonymity as being one person in a vast crowd. Every piece of personal information you reveal reduces the size of that crowd, the group of people you could plausibly be. For example, revealing your gender cuts the number of potential identities roughly in half.
One way to regain some anonymity is through deliberate disinformation. Suppose you share \(n\) independent yes/no facts about yourself, but intentionally flip \(k\) of them (without the attacker knowing which). In that case, you increase the number of identities consistent with your answers by a factor of \(C(n,k)\).
#OnlinePrivacy #DigitalAnonymity #InformationSecurity #CyberAwareness #PrivacyMatters #DigitalFootprint #DataProtection #InformationTheory #Anonymity #PrivacyEngineering #DataAnonymization #Disinformation #Combinatorics #SecurityResearch #ThinkBeforeYouShare #OnlineIdentity #PrivacyByDesign #DigitalEthics #ProtectYourData #InternetSafety #Privacy #CyberSecurity #Infosec #DataPrivacy #OnlineSafety #SecurityMindset
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Think of online anonymity as being one person in a vast crowd. Every piece of personal information you reveal reduces the size of that crowd, the group of people you could plausibly be. For example, revealing your gender cuts the number of potential identities roughly in half.
One way to regain some anonymity is through deliberate disinformation. Suppose you share \(n\) independent yes/no facts about yourself, but intentionally flip \(k\) of them (without the attacker knowing which). In that case, you increase the number of identities consistent with your answers by a factor of \(C(n,k)\).
#OnlinePrivacy #DigitalAnonymity #InformationSecurity #CyberAwareness #PrivacyMatters #DigitalFootprint #DataProtection #InformationTheory #Anonymity #PrivacyEngineering #DataAnonymization #Disinformation #Combinatorics #SecurityResearch #ThinkBeforeYouShare #OnlineIdentity #PrivacyByDesign #DigitalEthics #ProtectYourData #InternetSafety #Privacy #CyberSecurity #Infosec #DataPrivacy #OnlineSafety #SecurityMindset
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Think of online anonymity as being one person in a vast crowd. Every piece of personal information you reveal reduces the size of that crowd, the group of people you could plausibly be. For example, revealing your gender cuts the number of potential identities roughly in half.
One way to regain some anonymity is through deliberate disinformation. Suppose you share n independent yes/no facts about yourself but intentionally flip k of them (without the attacker knowing which). In that case, you increase the number of identities consistent with your answers by a factor of C(n,k).
#OnlinePrivacy #DigitalAnonymity #InformationSecurity #CyberAwareness #PrivacyMatters #DigitalFootprint #DataProtection #InformationTheory #Anonymity #PrivacyEngineering #DataAnonymization #Disinformation #Combinatorics #SecurityResearch #ThinkBeforeYouShare #OnlineIdentity #PrivacyByDesign #DigitalEthics #ProtectYourData #InternetSafety #Privacy #CyberSecurity #Infosec #DataPrivacy #OnlineSafety #SecurityMindset
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#AdaptiveCruiseControl(ACC) #AIgovernance #AIIntegration #augmentedreality #AutomatedDriving #AutonomousDriving #autonomousvehicles #autopilottechnology #BlockchainforSecurity #carsafety #Cloudcomputing #cybersecurity #DataAnonymization #Dataprivacy #deeplearning #DifferentialPrivacy #edgecomputing #encryption #ethicalAI #FailoverProtocols
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#AdaptiveCruiseControl(ACC) #AIgovernance #AIIntegration #augmentedreality #AutomatedDriving #AutonomousDriving #autonomousvehicles #autopilottechnology #BlockchainforSecurity #carsafety #Cloudcomputing #cybersecurity #DataAnonymization #Dataprivacy #deeplearning #DifferentialPrivacy #edgecomputing #encryption #ethicalAI #FailoverProtocols
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Today, we are glad to announce version 2 of #DbToolsBundle ! 🥳
=> https://dbtoolsbundle.readthedocs.io
With this release, we are pursuing our goal of democratizing #dataanonymization among the #php Community 🙌.
1- This new version introduces a standalone version of our library: it's now easy to install and easy to use on all PHP projects managed with composer 💥! (thanks to @pounard)
(But DbToolsBundle still keeps its complete integration to #symfony 😇 ❤️)
1/3
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Today, we are glad to announce version 2 of #DbToolsBundle ! 🥳
=> https://dbtoolsbundle.readthedocs.io
With this release, we are pursuing our goal of democratizing #dataanonymization among the #php Community 🙌.
1- This new version introduces a standalone version of our library: it's now easy to install and easy to use on all PHP projects managed with composer 💥! (thanks to @pounard)
(But DbToolsBundle still keeps its complete integration to #symfony 😇 ❤️)
1/3
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Today, we are glad to announce version 2 of #DbToolsBundle ! 🥳
=> https://dbtoolsbundle.readthedocs.io
With this release, we are pursuing our goal of democratizing #dataanonymization among the #php Community 🙌.
1- This new version introduces a standalone version of our library: it's now easy to install and easy to use on all PHP projects managed with composer 💥! (thanks to @pounard)
(But DbToolsBundle still keeps its complete integration to #symfony 😇 ❤️)
1/3
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Today, we are glad to announce version 2 of #DbToolsBundle ! 🥳
=> https://dbtoolsbundle.readthedocs.io
With this release, we are pursuing our goal of democratizing #dataanonymization among the #php Community 🙌.
1- This new version introduces a standalone version of our library: it's now easy to install and easy to use on all PHP projects managed with composer 💥! (thanks to @pounard)
(But DbToolsBundle still keeps its complete integration to #symfony 😇 ❤️)
1/3
-
Today, we are glad to announce version 2 of #DbToolsBundle ! 🥳
=> https://dbtoolsbundle.readthedocs.io
With this release, we are pursuing our goal of democratizing #dataanonymization among the #php Community 🙌.
1- This new version introduces a standalone version of our library: it's now easy to install and easy to use on all PHP projects managed with composer 💥! (thanks to @pounard)
(But DbToolsBundle still keeps its complete integration to #symfony 😇 ❤️)
1/3
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A Word on Data Anonymization 🔥🔒:
Data anonymization is the
process of removing any identifiable information to ensure a piece of data cannot be linked to an individual anymore.Anyone using this technique must be extremely careful about it.
Only removing the obvious identifiers, such as name and email, might not be enough. When applying anonymization techniques, it is vital to consider the data in context.
Here are a few examples to illustrate my point 🧵👇:
1/4
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A Word on Data Anonymization 🔥🔒:
Data anonymization is the
process of removing any identifiable information to ensure a piece of data cannot be linked to an individual anymore.Anyone using this technique must be extremely careful about it.
Only removing the obvious identifiers, such as name and email, might not be enough. When applying anonymization techniques, it is vital to consider the data in context.
Here are a few examples to illustrate my point 🧵👇:
1/4
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A Word on Data Anonymization 🔥🔒:
Data anonymization is the
process of removing any identifiable information to ensure a piece of data cannot be linked to an individual anymore.Anyone using this technique must be extremely careful about it.
Only removing the obvious identifiers, such as name and email, might not be enough. When applying anonymization techniques, it is vital to consider the data in context.
Here are a few examples to illustrate my point 🧵👇:
1/4
-
A Word on Data Anonymization 🔥🔒:
Data anonymization is the
process of removing any identifiable information to ensure a piece of data cannot be linked to an individual anymore.Anyone using this technique must be extremely careful about it.
Only removing the obvious identifiers, such as name and email, might not be enough. When applying anonymization techniques, it is vital to consider the data in context.
Here are a few examples to illustrate my point 🧵👇:
1/4
-
A Word on Data Anonymization 🔥🔒:
Data anonymization is the
process of removing any identifiable information to ensure a piece of data cannot be linked to an individual anymore.Anyone using this technique must be extremely careful about it.
Only removing the obvious identifiers, such as name and email, might not be enough. When applying anonymization techniques, it is vital to consider the data in context.
Here are a few examples to illustrate my point 🧵👇:
1/4