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Adam D. Smith

Active 1980–2026

122
Papers
21,212
Citations
53
h-index
92
i10-index

Citations

Citations per year for Adam D. Smith1990: 1 citations1998: 1 citations1999: 5 citations2000: 3 citations2001: 9 citations2002: 14 citations2003: 20 citations2004: 32 citations2005: 89 citations2006: 133 citations2007: 173 citations2008: 232 citations2009: 304 citations2010: 380 citations2011: 402 citations2012: 553 citations2013: 655 citations2014: 605 citations2015: 693 citations2016: 779 citations2017: 829 citations2018: 952 citations2019: 1,203 citations2020: 1,420 citations2021: 1,428 citations2022: 1,113 citations2023: 1,067 citations2024: 1,096 citations2025: 969 citations2026: 279 citations1991–1997: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 4,174 citing papers, 28.1% of this breakdownChina: 2,546 citing papers, 17.2% of this breakdownGermany: 650 citing papers, 4.4% of this breakdownUnited Kingdom: 640 citing papers, 4.3% of this breakdownCanada: 613 citing papers, 4.1% of this breakdownAustralia: 596 citing papers, 4% of this breakdownIndia: 483 citing papers, 3.3% of this breakdownFrance: 460 citing papers, 3.1% of this breakdownJapan: 411 citing papers, 2.8% of this breakdownIsrael: 403 citing papers, 2.7% of this breakdownSingapore: 366 citing papers, 2.5% of this breakdownHong Kong: 328 citing papers, 2.2% of this breakdown
0%28.1%Other 21.3%

Institutions

Fields

  • Computer Science90.1%
  • Engineering4.2%
  • Social Sciences1.5%
  • Decision Sciences1%
  • Mathematics0.6%
  • Physics and Astronomy0.6%
  • Other2%

Topics

  • Privacy-Preserving Technologies in Data18.8%
  • Cryptography and Data Security13.7%
  • Privacy, Security, and Data Protection4.4%
  • User Authentication and Security Systems3.5%
  • Mobile Crowdsensing and Crowdsourcing3.2%
  • Stochastic Gradient Optimization Techniques3%
  • Other53.4%

Coauthors

All papers

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  1. Calibrating Noise to Sensitivity in Private Data Analysis

    Authors: Cynthia Dwork, Frank McSherry, Kobbi Nissim, Adam D. Smith - Journal of Privacy and Confidentiality, J. Priv. Confidentiality 2006 cited by 7,028

  2. Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

    Authors: Yevgeniy Dodis, Leonid Reyzin, Adam D. Smith - Lecture notes in computer science, EUROCRYPT 2004 cited by 2,014

  3. Fuzzy Extractors: How to Generate Strong Keys from Biometrics and Other Noisy Data

    Authors: Yevgeniy Dodis, Rafail Ostrovsky, Leonid Reyzin, Adam D. Smith - SIAM Journal on Computing, IACR Cryptol. ePrint Arch. 2003 cited by 1,723

  4. Smooth sensitivity and sampling in private data analysis

    Authors: Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith - thirty-ninth annual ACM symposium on Theory of computing, STOC 2007 cited by 1,002

  5. Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

    Authors: Raef Bassily, Adam D. Smith, Abhradeep Thakurta - IEEE 55th Annual Symposium on Foundations of Computer Science, FOCS 2014 cited by 651

  6. Local, Private, Efficient Protocols for Succinct Histograms

    Authors: Raef Bassily, Adam D. Smith - forty-seventh annual ACM symposium on Theory of Computing, STOC 2015 cited by 299

  7. What Can We Learn Privately?

    Authors: Shiva Prasad Kasiviswanathan, Homin K. Lee, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith - 49th Annual IEEE Symposium on Foundations of Computer Science, FOCS 2008 cited by 900

  8. Analyzing Graphs with Node Differential Privacy

    Authors: Shiva Prasad Kasiviswanathan, Kobbi Nissim, Sofya Raskhodnikova, Adam D. Smith - Lecture notes in computer science, TCC 2013 cited by 289

  9. Privacy-preserving statistical estimation with optimal convergence rates

    Authors: Adam D. Smith - forty-third annual ACM symposium on Theory of computing, STOC 2011 cited by 265

  10. Authentication of Quantum Messages

    Authors: Howard Barnum, Claude Crépeau, Daniel Gottesman, Adam D. Smith, Alain Tapp - The 43rd Annual IEEE Symposium on Foundations of Computer Science, FOCS 2002 cited by 276

  11. When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?

    Authors: Gavin Brown, Mark Bun, Vitaly Feldman, Adam D. Smith, Kunal Talwar - SIGACT Symposium on Theory of Computing, STOC 2021 cited by 46

  12. Composition Attacks and Auxiliary Information in Data Privacy

    Authors: Srivatsava Ranjit Ganta, Shiva Prasad Kasiviswanathan, Adam D. Smith - SIGKDD international conference on Knowledge discovery and data mining 2008 cited by 400

  13. Differential Privacy for Statistics: What we Know and What we Want to Learn

    Authors: Cynthia Dwork, Adam D. Smith - Journal of Privacy and Confidentiality, J. Priv. Confidentiality 2010 cited by 275

  14. Algorithmic Stability for Adaptive Data Analysis

    Authors: Raef Bassily, Kobbi Nissim, Adam D. Smith, Thomas Steinke, Uri Stemmer, Jonathan R. Ullman - forty-eighth annual ACM symposium on Theory of Computing, SIAM J. Comput. 2016 cited by 157

  15. Secure multi-party quantum computation

    Authors: Claude Crépeau, Daniel Gottesman, Adam D. Smith - thiry-fourth annual ACM symposium on Theory of computing, STOC 2002 cited by 158

  16. Robust Traceability from Trace Amounts

    Authors: Cynthia Dwork, Adam D. Smith, Thomas Steinke, Jonathan R. Ullman, Salil P. Vadhan - IEEE 56th Annual Symposium on Foundations of Computer Science, FOCS 2015 cited by 141

  17. Discovering frequent patterns in sensitive data

    Authors: Raghav Bhaskar, Srivatsan Laxman, Adam D. Smith, Abhradeep Thakurta - SIGKDD international conference on Knowledge discovery and data mining 2010 cited by 234

  18. Using Fully Homomorphic Hybrid Encryption to Minimize Non-interative Zero-Knowledge Proofs

    Authors: Craig Gentry, Jens Groth, Yuval Ishai, Chris Peikert, Amit Sahai, Adam D. Smith - Journal of Cryptology, J. Cryptol. 2014 cited by 79

  19. Lipschitz Extensions for Node-Private Graph Statistics and the Generalized Exponential Mechanism

    Authors: Sofya Raskhodnikova, Adam D. Smith - IEEE 57th Annual Symposium on Foundations of Computer Science (FOCS) 2016 cited by 51

  20. Reusable Fuzzy Extractors for Low-Entropy Distributions

    Authors: Ran Canetti, Benjamin Fuller, Omer Paneth, Leonid Reyzin, Adam D. Smith - Journal of Cryptology, EUROCRYPT (1) 2014 cited by 89

  21. Differentially Private Simple Linear Regression

    Authors: Daniel Alabi, Audra McMillan, Jayshree Sarathy, Adam D. Smith, Salil P. Vadhan - Proceedings on Privacy Enhancing Technologies, Proc. Priv. Enhancing Technol. 2022 cited by 22

  22. Private Analysis of Graph Structure

    Authors: Vishesh Karwa, Sofya Raskhodnikova, Adam D. Smith, Grigory Yaroslavtsev - ACM Transactions on Database Systems, ACM Trans. Database Syst. 2011 cited by 194

  23. Differentially Private Analysis of Graphs

    Authors: Sofya Raskhodnikova, Adam D. Smith - Encyclopedia of Algorithms 2016 cited by 23

  24. Secure Remote Authentication Using Biometric Data

    Authors: Xavier Boyen, Yevgeniy Dodis, Jonathan Katz, Rafail Ostrovsky, Adam D. Smith - Lecture notes in computer science, EUROCRYPT 2005 cited by 258