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Questions tagged [differential-privacy]

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1answer
37 views

How can one apply differential privacy to this network dataset? [closed]

I've been reading up recently on differential privacy and I'm just starting to understand it. I've also read this paper that basically determined the sexual orientation of a user using Facebook ...
0
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1answer
38 views

differentially private release of histograms (non-negative valued queries)

Two practical questions arise when releasing differentially private histograms/counts via addition of Laplace/Gaussian noise: 1) Is the result of noise addition truncated/rounded (since we know that ...
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1answer
28 views

How to generate a sanitized dataset using Differential privacy?

I'm learning about differential privacy. I understand the concept behind differential privacy, that you can add a small noise to the query to mask the true value using transformations like Laplace or ...
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0answers
32 views

Improvement of results in “Deep learning with differential privacy”?

The paper Deep learning with differential privacy made some contributions, among them here are two: Improving the $(\epsilon, \delta)$-bound of differentially private SGD (by using moments accountant)...
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1answer
155 views

What are global sensitivity and local sensitivity in differential privacy?

I am learning differential privacy now, and there is no one surrounding I can ask questions about differential privacy. I am confused about the definitions of the global sensitivity and local ...
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1answer
30 views

postprocessing additive noise in differentially private data

when releasing differentially private datasets we often have (or can plausibly assume) knowledge of the noise added to the data to achieve privacy - we can even have good approximations of the scale ...
2
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1answer
75 views

Why does “sticky noise” defy averaging attack?

I have read an interesting paper (pdf) describing how a privacy preserving technique might be breached, but I am having trouble understanding the following paragraph describing one of several layers ...
0
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1answer
57 views

How to test for differential privacy on multiple choice data?

I apologize I am new to statistics so I do not know all terms and concepts. My current algorithm for adding noise to multiple-choice favorite color data is this: ...
3
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0answers
81 views

Most powerful test bounds in differential privacy setting

I am interested in the setting of differential privacy- let's say a random function $\mathcal{D}:X\to\mathbb{R}$ discriminates between (distinct) $x, y \in X$ in a differentially private way if $$ \...
2
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1answer
71 views

Issue with the definition of differential privacy

The definition of differential privacy states that if $\mathcal{M}$ is $(\epsilon,\delta)$-differentially private, then $\forall x,y$ such that $||x-y||_1\leq1$ and for all $S \subseteq \mathrm{Range}...
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2answers
67 views

Privacy through moving averages?

I am considering the following hypothetical situation: I have a time series of data. In general, 'the public' should have access to features of this data. However, making the time series available ...
2
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2answers
65 views

Differential privacy of identity query

I am trying to understand some of the papers that present identity query mechanisms that satisfies differential privacy, for example the compressive mechanism which uses what they call a universal ...
3
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3answers
111 views

Effect of exp(ϵ) in Differential Privacy Definition

I am reading about differential privacy and would like to understand the implications of the different values of $\varepsilon$ in the definition below: $$\mathbb{P}[K(D_1) \in \mathcal{S}] \leqslant \...
3
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1answer
102 views

Differential Privacy: why $\delta$ negligible on the row numbers?

The definition of differential privacy says that an algorithm $M$ is $(\epsilon,\delta)$-differentially private if $$P(M(x \in D) \in S)\leq e^\epsilon P(M(x \in D')\in S) + \delta$$ where $D,D'$ ...
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2answers
4k views

What is meant by “Laplace noise”?

I am currently writing algorithm for differential privacy using the Laplace mechanism. Unfortunately I have no background in statistics, therefore a lot of terms are unknown to me. So now I'm ...
29
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4answers
816 views

Has the journal Science endorsed the Garden of Forking Pathes Analyses?

The idea of adaptive data analysis is that you alter your plan for analyzing the data as you learn more about it. In the case of exploratory data analysis (EDA), this is generally a good idea (you are ...
4
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1answer
1k views

What is the purpose of using a Laplacian distribution in adding noise for Differential Privacy?

I am reading up on Differential Privacy and it is mentioned that the technique relies on adding some controlled noise to the release of responses to queries towards a statistical database. This is ...