Differentially private noisy search with applications to anomaly detection

Daniel M. Bittner; Anand D. Sarwate; Rebecca N. Wright

doi:10.1145/3128572.3140456

Differentially private noisy search with applications to anomaly detection

Daniel M. Bittner
, Anand D. Sarwate
, Rebecca N. Wright

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English (US)
Title of host publication	AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017
Publisher	Association for Computing Machinery, Inc
Pages	53
Number of pages	1
ISBN (Electronic)	9781450352024
DOIs	https://doi.org/10.1145/3128572.3140456
State	Published - Nov 3 2017
Event	10th ACM Workshop on Artificial Intelligence and Security, AISec 2017 - Dallas, United States Duration: Nov 3 2017 → …

Publication series

Name	AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017

Other

Other	10th ACM Workshop on Artificial Intelligence and Security, AISec 2017
Country/Territory	United States
City	Dallas
Period	11/3/17 → …

All Science Journal Classification (ASJC) codes

Artificial Intelligence

Access to Document

10.1145/3128572.3140456

Cite this

Bittner, D. M., Sarwate, A. D., & Wright, R. N. (2017). Differentially private noisy search with applications to anomaly detection. In AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017 (pp. 53). (AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017). Association for Computing Machinery, Inc. https://doi.org/10.1145/3128572.3140456

Bittner, Daniel M. ; Sarwate, Anand D. ; Wright, Rebecca N. / Differentially private noisy search with applications to anomaly detection. AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017. Association for Computing Machinery, Inc, 2017. pp. 53 (AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017).

@inproceedings{d8064069d9cf44abb32dca1f6a7a5e2f,

title = "Differentially private noisy search with applications to anomaly detection",

author = "Bittner, \{Daniel M.\} and Sarwate, \{Anand D.\} and Wright, \{Rebecca N.\}",

note = "Funding Information: This material is based upon work supported by the U.S. Department of Homeland Security under award 2009-ST-061-CCI002 and contract HSHQDC-16-A-B0005/HSHQDC-16-J-00371, the Defense Advanced Research Projects Agency (DARPA) and Space and Naval Warfare Systems Center, Pacific (SSC Pacific) under contract No. N66001-15-C-4070, and the National Science Foundation under award 1453432.; 10th ACM Workshop on Artificial Intelligence and Security, AISec 2017 ; Conference date: 03-11-2017",

year = "2017",

month = nov,

day = "3",

doi = "10.1145/3128572.3140456",

language = "English (US)",

series = "AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017",

publisher = "Association for Computing Machinery, Inc",

pages = "53",

booktitle = "AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017",

}

Bittner, DM, Sarwate, AD & Wright, RN 2017, Differentially private noisy search with applications to anomaly detection. in AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017. AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017, Association for Computing Machinery, Inc, pp. 53, 10th ACM Workshop on Artificial Intelligence and Security, AISec 2017, Dallas, United States, 11/3/17. https://doi.org/10.1145/3128572.3140456

Differentially private noisy search with applications to anomaly detection. / Bittner, Daniel M.; Sarwate, Anand D.; Wright, Rebecca N.
AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017. Association for Computing Machinery, Inc, 2017. p. 53 (AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Differentially private noisy search with applications to anomaly detection

AU - Bittner, Daniel M.

AU - Sarwate, Anand D.

AU - Wright, Rebecca N.

N1 - Funding Information: This material is based upon work supported by the U.S. Department of Homeland Security under award 2009-ST-061-CCI002 and contract HSHQDC-16-A-B0005/HSHQDC-16-J-00371, the Defense Advanced Research Projects Agency (DARPA) and Space and Naval Warfare Systems Center, Pacific (SSC Pacific) under contract No. N66001-15-C-4070, and the National Science Foundation under award 1453432.

PY - 2017/11/3

Y1 - 2017/11/3

UR - https://www.scopus.com/pages/publications/85037331448

UR - https://www.scopus.com/pages/publications/85037331448#tab=citedBy

U2 - 10.1145/3128572.3140456

DO - 10.1145/3128572.3140456

M3 - Conference contribution

AN - SCOPUS:85037331448

T3 - AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017

SP - 53

BT - AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017

PB - Association for Computing Machinery, Inc

T2 - 10th ACM Workshop on Artificial Intelligence and Security, AISec 2017

Y2 - 3 November 2017

ER -

Bittner DM, Sarwate AD, Wright RN. Differentially private noisy search with applications to anomaly detection. In AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017. Association for Computing Machinery, Inc. 2017. p. 53. (AISec 2017 - Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, co-located with CCS 2017). doi: 10.1145/3128572.3140456

Differentially private noisy search with applications to anomaly detection

Publication series

Other

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Cite this