# Differential Privacy

**URL:** <https://discuss.88.io/t/differential-privacy/244>\
**Category:** browser app\
**Tags:** techs\
**Created:** [August 21, 2021, 6:43am UTC](https://discuss.88.io/t/differential-privacy/244 "2021-08-21T06:43:08Z")\
**Posts on this page:** 5\
**Page:** 1

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**Author:** ![admin](https://discuss.88.io/user_avatar/discuss.88.io/admin/32/38_2.png) [@admin](https://discuss.88.io/u/admin)\
**Post date:** [August 21, 2021, 6:43am UTC](https://discuss.88.io/t/differential-privacy/244/1 "2021-08-21T06:43:08Z")

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Private Cyberspace provides a complete platform for privacy preserving computation. Although it is much broader in scope and capability than anything before it, its newness might still cause confusion with other privacy protection technologies.

Our focus is NOT on protecting privacy when data has already been provided to ANOTHER party for analysis.

We are protecting privacy by letting the data sources analyse their data THEMSELVES and providing only the results to others.

As a delivery platform, Fiduciary Exchange actually complements instead of competes with these technologies.

Nevertheless there will be comparisons with recent privacy developments like [Differential Privacy](https://en.wikipedia.org/wiki/Differential_privacy) which we can discuss on this forum.

**Note:**  
Differential Privacy is just mathematical definition of privacy, it is NOT a privacy protecting technology in itself. But there are some privacy technologies that reference Differential Privacy in their discussions.

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**Author:** ![admin](https://discuss.88.io/user_avatar/discuss.88.io/admin/32/38_2.png) [@admin](https://discuss.88.io/u/admin)\
**Post date:** [August 21, 2021, 6:46am UTC](https://discuss.88.io/t/differential-privacy/244/2 "2021-08-21T06:46:03Z")

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# Differential Privacy: A Primer for a Non-Technical Audience

[https://dash.harvard.edu/bitstream/handle/1/38323292/4\_Wood\_Final.pdf](https://dash.harvard.edu/bitstream/handle/1/38323292/4_Wood_Final.pdf)

> **[Harvard University](https://www.harvard.edu)**
>
> Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders who make a difference globally.

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**Author:** ![admin](https://discuss.88.io/user_avatar/discuss.88.io/admin/32/38_2.png) [@admin](https://discuss.88.io/u/admin)\
**Post date:** [August 21, 2021, 6:50am UTC](https://discuss.88.io/t/differential-privacy/244/3 "2021-08-21T06:50:30Z")

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# Enabling developers and organizations to use differential privacy

> **[Enabling developers and organizations to use differential privacy- Google...](https://developers.googleblog.com/enabling-developers-and-organizations-to-use-differential-privacy/)**

> **[About Google: Our products, technology and company information](https://about.google)**
>
> Learn more about Google. Explore our innovative AI products and services, and discover how we're using technology to help improve lives around the world.

# Comment

 ![google](https://discuss.88.io/uploads/default/original/1X/90e30f9338aecdb8afa4b76833d326d37f8d56b2.png)

What is point of worrying about Differential Privacy in Google, when Google controls the whole data path from collection to analysis ?

&nbsp;

 ![exchange](https://discuss.88.io/uploads/default/original/1X/7781de82053bdeb2b59d35858a071f998e9fdd94.png)

Fiduciary Exchange lets you control the whole data path.

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**Author:** ![admin](https://discuss.88.io/user_avatar/discuss.88.io/admin/32/38_2.png) [@admin](https://discuss.88.io/u/admin)\
**Post date:** [August 21, 2021, 8:22am UTC](https://discuss.88.io/t/differential-privacy/244/4 "2021-08-21T08:22:48Z")

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# Learning with Privacy at Scale

> **[Learning with Privacy at Scale](https://machinelearning.apple.com/research/learning-with-privacy-at-scale)**
>
> Understanding how people use their devices often helps in improving the user experience. However, accessing the data that provides such…

> **[Apple Leadership](https://www.apple.com/leadership/)**
>
> Apple leadership biographies include Apple’s executive team responsibilities and experience. Learn more about Apple’s leadership team.

# Comment

 ![apple](https://discuss.88.io/uploads/default/original/1X/82758594788c688f60ac48179456f3ffdaaab1cd.png)

What is point of worrying about Differential Privacy in Apple, when Apple controls the whole data path from collection to analysis ?

&nbsp;

 ![exchange](https://discuss.88.io/uploads/default/original/1X/7781de82053bdeb2b59d35858a071f998e9fdd94.png)

Fiduciary Exchange lets you control the whole data path.

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<div class="post-metadata">

**Author:** ![admin](https://discuss.88.io/user_avatar/discuss.88.io/admin/32/38_2.png) [@admin](https://discuss.88.io/u/admin)\
**Post date:** [August 21, 2021, 8:23am UTC](https://discuss.88.io/t/differential-privacy/244/5 "2021-08-21T08:23:25Z")

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# The Algorithmic Foundations of Differential Privacy

> **[privacybook.pdf](https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf)**
>
> 2.03 MB

> **[University of Pennsylvania](https://www.upenn.edu/)**
>
> Topics