Questions tagged [data-privacy]
Data privacy refers to (cryptographic) methods to prevent the disclosure of sensitive (identifying) information of persons.
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Sensitivy Maximization RAPPOR (Local Differential Privacy)
Hi I have a doubt at the end of the proof of the RAPPOR Algorithm, when they say the sensitivity is maximized when $b'_{h+1}=b'_{h+2}=...=b'_{2h}=1$ and $b'_{1}=b'_{2}=...=b'_{h}=0$. I don't ...
2
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1answer
82 views
Data Security and Encryption
I have a research paper on data security using proxy re-encryption, and I need to provide an answer to a reviewer's comment. However, I have no idea on what to do or how to answer it.
The security ...
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0answers
8 views
Directional vector privacy-preserving techniques
I'm new to cryptography, and I wonder if it's possible to temporarily track users by observing directional vectors in Mobile-Ad-Hoc-Networks, and if there are any methods, in case it is trackable, to ...
2
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2answers
42 views
What is $z_b$ in this introduction to Private Information Retrieval?
I was trying to read this introduction to private information retrieval. On page 12 of the document, a scheme for 1-DB private information retrieval is discussed. I was unable to understand one of the ...
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1answer
49 views
How to adapt the equation of Gaussian mechanism noise based on number of executions
I'm trying to build a differentially private machine learning model. I'm using the Gaussian mechanism to calculate the required noise amount based on pre-defined privacy budget value 𝜖
The equation ...
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33 views
Mechanisms for masking identifying unique IDs with non-identifying unique IDs to protect privacy?
I need to suggest mechanisms for masking unique codes in a database with different unique codes that are not derived from the original unique codes, but are equivalently unique in that they could ...
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1answer
66 views
Differential privacy what does “where the probability is taken over the randomness used by the algorithm” mean?
The definition of differential privacy is as follows:
A randomized mechanism $\mathcal{M}$ is $(\epsilon, \delta)$-differentially private, where $\epsilon \leq 0$ and $\delta \leq 0$, if for any ...
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2answers
166 views
Differential privacy noise that scales with $L_p$-sensitivity with $p>2$?
It is well-known that to make the result of a $\mathbb{R}^d$-valued query $(\varepsilon,\delta)$-differentially private, you can add noise to it. If you add Laplace noise, you need to scale the noise ...
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17 views
Check correctness of data using only publicly known variables and a server response
A smart contract (a publicly known program) needs to check if the data D is correct (belongs to some fixed set). It is by definition correct if our trusted server checks it and decides it's correct.
...
2
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1answer
51 views
The sensitivity in differential privacy with deep learning
In differentially private deep learning, the sensitivity is determined by clipping gradient norm (see Abadi et al.'s paper). In this paper, when the clipping gradient norm is $C$, the sensitivity is $...
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1answer
89 views
Laplace Inequality
I am trying to prove that if $r_i \sim Lap(0,1/\varepsilon)$ where $\varepsilon >0$ then:
$$Pr[r_i \geq 1+r^*] \geq e^{-\varepsilon}Pr[r_i \geq r^{*}]$$.
I know that for $r*>0$ it satisfies ...
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1answer
221 views
$(\epsilon, \delta)$-differential privacy: main motivation of $\delta$
I am wondering why (not how) we relax $\epsilon$-differential privacy to $(\epsilon, \delta)$-differential privacy. Is the main motivation to reduce the variance of the noise added to the query with a ...
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1answer
115 views
Advanced Composition (Differential Privacy)
I have a problem understanding the proof of the corollary of Advanced Composition
Theorem Advanced Composition:
For all $\varepsilon,\delta,\delta' \geq 0$ the class of $(\varepsilon,\delta)$-...
2
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0answers
70 views
Content Key Encryption for Multi-User data access
I recently worked out a concept for a use-case, but I'm not sure if my approach is good enough.
So I would appreciate feedback and things to look out for, as I'm fairly new to this field.
A User can ...
3
votes
1answer
82 views
Lemma KL-Divergence (Differential Privacy)
I am studying differential privacy and I got stuck again in proof of a lemma. Which is:
$D_{\infty}^\delta(Y||Z) \leq \epsilon$ if and only if there exists a random variable $Y'$ such that $\Delta(Y,...
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0answers
54 views
Is using Fiat-shamir Heuristic safe?
What I'd like to do is to have the Prover store a value x where x remains hidden.
From x, I'...
2
votes
1answer
79 views
Calculating the privacy that Renyi ($\epsilon, \delta$) Differential Privacy satisfies
I add differential privacy (DP) to my machine learning models by using PyTorch-DP. PyTorch-DP supplies me with the values: $\epsilon$ and $\delta $. I know that the $\epsilon$ tells us something about ...
2
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1answer
129 views
Differential Privacy: What is the 'game' between data holder and adversary?
I have been reading the Differential Privacy (DP) literature for some time to get familiar with it. I feel comfortable with the Math and Stats foundations of it, but I am suffering a bit from the '...
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1answer
150 views
how many iterations of SHA3 (keccak256) hashing would be required to provide reasonable protection for the following data structure?
((A , B , C) , (D , E , F, G, H))
Where:
A is 0x0-0xF, (1 of 16)
B is 0x00-0xFF (1 of 256)
C is an 8 digit integer
D is a one of a list of one hundred words padded to 12 characters
E is a one ...
2
votes
1answer
81 views
Compute euclidian distance on encrypted data
The scenario is described as following: Let $A$ an user that is transmitting an encrypted (with its own public key $PK_A$) data vector containing its position as $p = Enc(PK_A, [x,y])$ towards a group ...
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2answers
86 views
What is the implication for differential privacy if $\epsilon = 0$?
In pure differential privacy, the parameter $\epsilon$ represents the desired privacy loss. The smaller the $\epsilon$ is, the more privacy we can obtain. What happens when we want the privacy loss $\...
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1answer
73 views
Which is more secure PEPP-PT or DP-3T?
Which of these population tracking protocols is better from a cryptography point of view?
Pan-European Privacy-Preserving Proximity Tracing (PEPP-PT)
Decentralized Privacy-Preserving Proximity ...
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0answers
101 views
Encrypting conversation messages stored in database (symmetric encryption)
I have a chatting application like Slack/Discord.
In this chat application there chat groups and messages sent by users need to be encrypted in the database.
I do not need features like E2E encryption,...
0
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1answer
116 views
Adding the same noise to all element of a vector is Differential privacy
In Differential privacy, if we add a $N$-dimension private vector with $N$-dimension Laplace or Gauss noise, we obtain differential privacy. However, if we only generate a 1-dimension noise to add it ...
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43 views
Proving anonymous credential presentation
In a CL-based or CKS-based anonymous credential system, how can a verifier $V$ prove that a credential holder $H$ has presented it a credential that has been issued by an issuer $I$ without ...
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0answers
57 views
Comparison of end-to-end encryption and TLS
I am writing a comparison paper about security of electronic communication and I want to compare end-to-end encryption and TLS by giving two examples such as Whatsapp and Facebook Messenger. However, ...
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2answers
52 views
privacy enhancing techniques on image data
To give some context:
I am looking for a suite of techniques and tools that can theoretically enable me to conduct analysis such as classification on image datasets in a manner in which a naive ...
3
votes
2answers
617 views
Interpretation of advanced composition theorem of differential privacy
In "The Algorithmic Foundations of Differential Privacy" book, Advanced Decomposition Theorem (Thm 3.20) is stated as follows:
For all "$\epsilon, \delta, \delta' \geq 0$, the class of
...
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0answers
71 views
Sigma Protocol with Privacy-preserving Discrete Logarithms?
I've been reading up on Sigma Protocols and Fiat-Shamir Heuristic. There is a small problem I see here that is possibly already solved, but I'd like to know if it has a solution.
Peggy wants to prove ...
3
votes
2answers
101 views
What's the meaning of probabilities in differential privacy formula?
I don't understand what does it mean by "The probability is taken is over the coin tosses of K."
Does it mean, the probability distribution is generated based on exactly same data but only the ...
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0answers
55 views
Differential privacy RAPPOR article proof doubts
Recently I've been trying to understand the RAPPOR proof:
\begin{eqnarray*}
P(B' = b' | B = b^*) & = & \left(\frac{1}{2}f\right)^{b'_1}\left(1 - \frac{1}{2}f\right)^{1 - b'_1} \times \ldots \\...
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45 views
Two parties looking to share data anonymously
I've been struggling to find good info on how to do the following:
A(lice) and B(ob) each have a table of data (a and b ...
3
votes
1answer
117 views
Why does ε-differential privacy protect the subset of 1/ε edges in terms of graphs?
In the book The Algorithmic Foundations of Differential Privacy by Cynthia Dwork, Aaron Roth on page 24, databases that take the form of graphs are discussed.
We could on the other hand consider ...
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vote
1answer
70 views
Facebook app-scoped identifiers and similar - implementing stateless ID obfuscation
After certain privacy concerns Facebook rolled out a bunch of changes to their APIs, one being "scoping" user identifiers per app. In effect, this means that Alice's canonical facebook user ID is ...
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0answers
59 views
Pros/cons of anonymity when messages are encrypted? [closed]
Let's say I'm making an end-to-end encrypted messaging app with the goal of putting "privacy first." The contents of messages are encrypted, but in the current model, it is still visible to the server ...
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2answers
1k views
Why the definition in $\epsilon$-differential privacy is multiplicative rather than additive？
According to its mathematical definition, a random algorithm $M: D\rightarrow R$ satisfies $\epsilon$-differential privacy if the adjacent datasets $x, y \in D$ where $D$ is a whole dataset and ...
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0answers
44 views
Audio Files and Digital Bearer Instruments
Is it possible to combine Audio Files and Public Key Cryptography creating a Digital Bearer Audio File that is in complete control of the owner who would then have the ability to grant access to ...
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0answers
109 views
Private Set Intersection using a subset of the larger set
Alice has a set $S_A$ with a low cardinality (say ~30k). Bob on the other hand has a set $S_B$ with a much higher cardinality than of Alice's (say ~100M).
We're trying to create a reduced ...
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0answers
111 views
Data masking / Data obfuscation for string int float and date , preserving order and exact matches
I've to mask data into some different value but to keep their property such as order an exact match (substring is yet impossible)
What's the state of the art in data masking? I've some data on which ...
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2answers
830 views
Are there any practical use cases for performing homomorphic operations on encrypted Strings?
Does anybody know which practical use cases there are to operate on encrypted strings? Even niche problems that can be solved using homomorphic encryption on strings are interesting to me, but not ...
4
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1answer
246 views
What are the advantages of mutual private set intersection methods over finding the intersection of hashed lists?
I can understand the usefulness of one-way private set intersection methods. Where Alice and Bob both have listed but only Alice learns the intersection of those lists while Bob learns nothing.
I ...
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1answer
165 views
How Zero Knowledge Proof enables Privacy By Design [closed]
How does Zero Knowledge Proof (ZKP) enable Privacy By Design?
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2answers
174 views
Zero knowledge proof in smart parking managment systems
I read this paper on protecting user privacy in smart parking management system. It talks about using zero knowledge proofs to protect privacy but I am not certain how they do it. My assumption is ...
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1answer
307 views
lookup encrypted text by clear text without decryption
I've implemented vouchers module in my web project where I use it to generate redeem get etc... vouchers.
since voucher codes are considered sensitive, I've considered to encrypt them using AES-GCM.
...
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0answers
160 views
Laplace mechanism from Exponential mechanism in Differential Privacy
In McSherry and Talwar's paper which introduces the exponential mechanism for differential privacy, they say that the Laplace mechanism can be captured by choosing the score function as $q(d,r) = - |f(...
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2answers
133 views
Cryptographic scheme where a single message cannot be decrypted but if combined with other it can be
i'm wondering if this type of cryptographic scheme does exists. I know about homomorphic encryption but if one has the private key, he can decrypt every single message.
I would like to know if there ...
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1answer
58 views
Filter party-1 strings against party-2 white/black list keeping the lists private
Suppose I have a server and a client. The client has a list of arbitrary strings and the server is supposed to filter this list using white and black lists kept on the server side. It would be nice ...
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0answers
98 views
End-To-End encryption for VoIP teleconference applications and many-to-many lag-sensitive applications
There are various protocols that allow you to have privacy-enhanced chat.
Those can be either 2-party chat such as:
OTR
SIGNAL
or multiparty chat such as:
SIGNAL
(n+1)sec
mpOTR
GOTR (2013 spec and ...
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1answer
45 views
what can attackers do between two end hosts
I have one question that I couldn't come up with a nice solution.
So let's have this analogy, I have a box full of money and I want to deliver to this my friend. Here if we think of a potential ...
5
votes
1answer
867 views
Difference between ε-differential privacy and (ε, δ)-differential privacy
I don't understand the necessity of introducing the additive term δ in the differential privacy definition. Moreover, reading different papers and blogs they say that because of the δ term the ...
