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Mechanism Design and Differential Privacy

  • Reference work entry
  • First Online:
Encyclopedia of Algorithms

  • 214 Accesses

Years and Authors of Summarized Original Work

  • 2007; McSherry, Talwar

  • 2011; Ghosh, Roth

  • 2012; Nissim, Orlandi, Smorodinsky

  • 2012; Fleischer, Lyu

  • 2012; Ligett, Roth

  • 2013; Chen, Chong, Kash, Moran, Vadhan

  • 2014; Nissim, Vadhan, Xiao

Problem Definition

Mechanism design and private data analysis both study the question of performing computations over data collected from individual agents while satisfying additional restrictions. The focus in mechanism design is on performing computations that are compatible with the incentives of the individual agents, and the additional restrictions are toward motivating agents to participate in the computation (individual rationality) and toward having them report their true data (incentive compatibility). The focus in private data analysis is on performing computations that limit the information leaked by the output on each individual agent’s sensitive data, and the additional restriction is on the influence each agent may have on the outcome distribution...

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Recommended Reading

  1. Alpert CJ, Chan T, Kahng AB, Markov IL, Mulet P (1998) Faster minimization of linear wirelength for global placement. IEEE Trans CAD 17(1):3–13

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  2. Chen Y, Chong S, Kash IA, Moran T, Vadhan SP (2013) Truthful mechanisms for agents that value privacy. In: EC 2013, Philadelphia, pp 215–232

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  3. Dwork C, McSherry F, Nissim K, Smith A (2006) Calibrating noise to sensitivity in private data analysis. In: TCC 2006, New York, pp 265–284

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  4. Fleischer L, Lyu Y-H (2012) Approximately optimal auctions for selling privacy when costs are correlated with data. In: EC 2012, Valencia, pp 568–585

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  5. Ghosh A, Roth A (2011) Selling privacy at auction. In: EC 2011, San Jose, pp 199–208

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  6. Huang Z, Kannan S (2012) The exponential mechanism for social welfare: private, truthful, and nearly optimal. In: FOCS 2012, New Brunswick, pp 140–149

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  8. McSherry F, Talwar K (2007) Mechanism design via differential privacy. In: FOCS 2007, Providence, pp 94–103

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  9. Nissim K, Orlandi C, Smorodinsky R (2012) Privacy-aware mechanism design. In: EC 2012, Valencia, pp 774–789

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  10. Nissim K, Smorodinsky R, Tennenholtz M (2012) Approximately optimal mechanism design via differential privacy. In: ITCS 2012, Boston, pp 203–213

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  11. Nissim K, Vadhan SP, Xiao D (2014) Redrawing the boundaries on purchasing data from privacy-sensitive individuals. In: ITCS 2014, Princeton, pp 411–422

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  12. Xiao D (2013) Is privacy compatible with truthfulness? In: ITCS 2013, Berkeley, pp 67–86

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Author information

Authors and Affiliations

  1. Department of Computer Science, Ben-Gurion University, Beer Sheva, Israel

    Kobbi Nisim

  2. CNRS, Université Paris 7, Paris, France

    David Xiao

Authors
  1. Kobbi Nisim
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  2. David Xiao
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Corresponding author

Correspondence to Kobbi Nisim .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA

    Ming-Yang Kao

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© 2016 Springer Science+Business Media New York

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Nisim, K., Xiao, D. (2016). Mechanism Design and Differential Privacy. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_548

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