4 Search Results for "Mao, Jieming"

Document
DOI: 10.4230/LIPIcs.ITCS.2023.48
Differentially Private Continual Releases of Streaming Frequency Moment Estimations

Authors: Alessandro Epasto, Jieming Mao, Andres Munoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, and Peilin Zhong

Published in: LIPIcs, Volume 251, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023)

Abstract
The streaming model of computation is a popular approach for working with large-scale data. In this setting, there is a stream of items and the goal is to compute the desired quantities (usually data statistics) while making a single pass through the stream and using as little space as possible. Motivated by the importance of data privacy, we develop differentially private streaming algorithms under the continual release setting, where the union of outputs of the algorithm at every timestamp must be differentially private. Specifically, we study the fundamental 𝓁_p (p ∈ [0,+∞)) frequency moment estimation problem under this setting, and give an ε-DP algorithm that achieves (1+η)-relative approximation (∀ η ∈ (0,1)) with polylog(Tn) additive error and uses polylog(Tn)⋅ max(1, n^{1-2/p}) space, where T is the length of the stream and n is the size of the universe of elements. Our space is near optimal up to poly-logarithmic factors even in the non-private setting. To obtain our results, we first reduce several primitives under the differentially private continual release model, such as counting distinct elements, heavy hitters and counting low frequency elements, to the simpler, counting/summing problems in the same setting. Based on these primitives, we develop a differentially private continual release level set estimation approach to address the 𝓁_p frequency moment estimation problem. We also provide a simple extension of our results to the harder sliding window model, where the statistics must be maintained over the past W data items.
Cite as

Alessandro Epasto, Jieming Mao, Andres Munoz Medina, Vahab Mirrokni, Sergei Vassilvitskii, and Peilin Zhong. Differentially Private Continual Releases of Streaming Frequency Moment Estimations. In 14th Innovations in Theoretical Computer Science Conference (ITCS 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 251, pp. 48:1-48:24, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

Copy BibTex To Clipboard

@InProceedings{epasto_et_al:LIPIcs.ITCS.2023.48,
  author =	{Epasto, Alessandro and Mao, Jieming and Medina, Andres Munoz and Mirrokni, Vahab and Vassilvitskii, Sergei and Zhong, Peilin},
  title =	{{Differentially Private Continual Releases of Streaming Frequency Moment Estimations}},
  booktitle =	{14th Innovations in Theoretical Computer Science Conference (ITCS 2023)},
  pages =	{48:1--48:24},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-263-1},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{251},
  editor =	{Tauman Kalai, Yael},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2023.48},
  URN =		{urn:nbn:de:0030-drops-175513},
  doi =		{10.4230/LIPIcs.ITCS.2023.48},
  annote =	{Keywords: Differential Privacy, Continual Release, Sliding Window, Streaming Algorithms, Distinct Elements, Frequency Moment Estimation}
}
Document
DOI: 10.4230/LIPIcs.ITCS.2022.105
Interactive Communication in Bilateral Trade

Authors: Jieming Mao, Renato Paes Leme, and Kangning Wang

Published in: LIPIcs, Volume 215, 13th Innovations in Theoretical Computer Science Conference (ITCS 2022)

Abstract
We define a model of interactive communication where two agents with private types can exchange information before a game is played. The model contains Bayesian persuasion as a special case of a one-round communication protocol. We define message complexity corresponding to the minimum number of interactive rounds necessary to achieve the best possible outcome. Our main result is that for bilateral trade, agents don't stop talking until they reach an efficient outcome: Either agents achieve an efficient allocation in finitely many rounds of communication; or the optimal communication protocol has infinite number of rounds. We show an important class of bilateral trade settings where efficient allocation is achievable with a small number of rounds of communication.
Cite as

Jieming Mao, Renato Paes Leme, and Kangning Wang. Interactive Communication in Bilateral Trade. In 13th Innovations in Theoretical Computer Science Conference (ITCS 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 215, pp. 105:1-105:21, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022)

Copy BibTex To Clipboard

@InProceedings{mao_et_al:LIPIcs.ITCS.2022.105,
  author =	{Mao, Jieming and Paes Leme, Renato and Wang, Kangning},
  title =	{{Interactive Communication in Bilateral Trade}},
  booktitle =	{13th Innovations in Theoretical Computer Science Conference (ITCS 2022)},
  pages =	{105:1--105:21},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-217-4},
  ISSN =	{1868-8969},
  year =	{2022},
  volume =	{215},
  editor =	{Braverman, Mark},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2022.105},
  URN =		{urn:nbn:de:0030-drops-157014},
  doi =		{10.4230/LIPIcs.ITCS.2022.105},
  annote =	{Keywords: Bayesian persuasion, bilateral trade, information design}
}
Document
DOI: 10.4230/LIPIcs.ITC.2020.1
Separating Local & Shuffled Differential Privacy via Histograms

Authors: Victor Balcer and Albert Cheu

Published in: LIPIcs, Volume 163, 1st Conference on Information-Theoretic Cryptography (ITC 2020)

Abstract
Recent work in differential privacy has highlighted the shuffled model as a promising avenue to compute accurate statistics while keeping raw data in users' hands. We present a protocol in this model that estimates histograms with error independent of the domain size. This implies an arbitrarily large gap in sample complexity between the shuffled and local models. On the other hand, we show that the models are equivalent when we impose the constraints of pure differential privacy and single-message randomizers.
Cite as

Victor Balcer and Albert Cheu. Separating Local & Shuffled Differential Privacy via Histograms. In 1st Conference on Information-Theoretic Cryptography (ITC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 163, pp. 1:1-1:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

Copy BibTex To Clipboard

@InProceedings{balcer_et_al:LIPIcs.ITC.2020.1,
  author =	{Balcer, Victor and Cheu, Albert},
  title =	{{Separating Local \& Shuffled Differential Privacy via Histograms}},
  booktitle =	{1st Conference on Information-Theoretic Cryptography (ITC 2020)},
  pages =	{1:1--1:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-151-1},
  ISSN =	{1868-8969},
  year =	{2020},
  volume =	{163},
  editor =	{Tauman Kalai, Yael and Smith, Adam D. and Wichs, Daniel},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ITC.2020.1},
  URN =		{urn:nbn:de:0030-drops-121068},
  doi =		{10.4230/LIPIcs.ITC.2020.1},
  annote =	{Keywords: Differential Privacy, Distributed Protocols, Histograms}
}
Document
DOI: 10.4230/LIPIcs.ICALP.2016.61
Coding for Interactive Communication Correcting Insertions and Deletions

Authors: Mark Braverman, Ran Gelles, Jieming Mao, and Rafail Ostrovsky

Published in: LIPIcs, Volume 55, 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)

Abstract
We consider the question of interactive communication, in which two remote parties perform a computation while their communication channel is (adversarially) noisy. We extend here the discussion into a more general and stronger class of noise, namely, we allow the channel to perform insertions and deletions of symbols. These types of errors may bring the parties "out of sync", so that there is no consensus regarding the current round of the protocol. In this more general noise model, we obtain the first interactive coding scheme that has a constant rate and tolerates noise rates of up to 1/18 - epsilon. To this end we develop a novel primitive we name edit distance tree code. The edit distance tree code is designed to replace the Hamming distance constraints in Schulman's tree codes (STOC 93), with a stronger edit distance requirement. However, the straightforward generalization of tree codes to edit distance does not seem to yield a primitive that suffices for communication in the presence of synchronization problems. Giving the "right" definition of edit distance tree codes is a main conceptual contribution of this work.
Cite as

Mark Braverman, Ran Gelles, Jieming Mao, and Rafail Ostrovsky. Coding for Interactive Communication Correcting Insertions and Deletions. In 43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016). Leibniz International Proceedings in Informatics (LIPIcs), Volume 55, pp. 61:1-61:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2016)

Copy BibTex To Clipboard

@InProceedings{braverman_et_al:LIPIcs.ICALP.2016.61,
  author =	{Braverman, Mark and Gelles, Ran and Mao, Jieming and Ostrovsky, Rafail},
  title =	{{Coding for Interactive Communication Correcting Insertions and Deletions}},
  booktitle =	{43rd International Colloquium on Automata, Languages, and Programming (ICALP 2016)},
  pages =	{61:1--61:14},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-013-2},
  ISSN =	{1868-8969},
  year =	{2016},
  volume =	{55},
  editor =	{Chatzigiannakis, Ioannis and Mitzenmacher, Michael and Rabani, Yuval and Sangiorgi, Davide},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2016.61},
  URN =		{urn:nbn:de:0030-drops-61981},
  doi =		{10.4230/LIPIcs.ICALP.2016.61},
  annote =	{Keywords: Interactive communication, coding, edit distance}
}
  • Refine by Author
  • 3 Mao, Jieming
  • 1 Balcer, Victor
  • 1 Braverman, Mark
  • 1 Cheu, Albert
  • 1 Epasto, Alessandro
  • Show More...

  • Refine by Classification
  • 1 Security and privacy
  • 1 Security and privacy → Privacy-preserving protocols
  • 1 Theory of computation → Algorithmic game theory
  • 1 Theory of computation → Exact and approximate computation of equilibria
  • 1 Theory of computation → Solution concepts in game theory
  • Show More...

  • Refine by Keyword
  • 2 Differential Privacy
  • 1 Bayesian persuasion
  • 1 Continual Release
  • 1 Distinct Elements
  • 1 Distributed Protocols
  • Show More...

  • Refine by Type
  • 4 document

  • Refine by Publication Year
  • 1 2016
  • 1 2020
  • 1 2022
  • 1 2023

Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail
© 2023-2024 Schloss Dagstuhl – LZI GmbH Imprint Privacy Contact