Differential privacy under continual observation

@inproceedings{Dwork2010DifferentialPU,
  title={Differential privacy under continual observation},
  author={Cynthia Dwork and Moni Naor and Toniann Pitassi and Guy N. Rothblum},
  booktitle={STOC},
  year={2010}
}
Differential privacy is a recent notion of privacy tailored to privacy-preserving data analysis [11]. Up to this point, research on differentially private data analysis has focused on the setting of a trusted curator holding a large, static, data set; thus every computation is a "one-shot" object: there is no point in computing something twice, since the result will be unchanged, up to any randomness introduced for privacy. However, many applications of data analysis involve repeated… CONTINUE READING
Highly Influential
This paper has highly influenced 38 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 327 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 221 extracted citations

Privacy-Preserving Distributed Stream Monitoring ( NDSS 2014 )

Arik Friedman NICTA, Israel tsachis, il Daniel Keren, Israel dkeren, Israel assaf
2013
View 13 Excerpts
Highly Influenced

Encrypted Databases for Differential Privacy

IACR Cryptology ePrint Archive • 2018
View 5 Excerpts
Highly Influenced

Employing Private Data in AMI Applications: Short Term Load Forecasting Using Differentially Private Aggregated Data

2016 Intl IEEE Conferences on Ubiquitous Intelligence & Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People, and Smart World Congress (UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld) • 2016
View 7 Excerpts
Highly Influenced

328 Citations

0204060'11'13'15'17'19
Citations per Year
Semantic Scholar estimates that this publication has 328 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-2 of 2 references

Efficient algorithms for online decision problems

J. Comput. Syst. Sci. • 2005
View 6 Excerpts
Highly Influenced

Learning , Regret minimization , and Equilibria

Avrim Blum, Yishay Monsour
2007
View 3 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…