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Fingerprint Fingerprint is based on mining the text of the experts' scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 4 Similar Profiles
Privacy Mathematics
State estimation Engineering & Materials Science
Smart meters Engineering & Materials Science
Transmitters Engineering & Materials Science
Data privacy Engineering & Materials Science
Leakage Mathematics
Decoding Engineering & Materials Science
Entropy Engineering & Materials Science

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Research Output 2007 2019

  • 1003 Citations
  • 15 h-Index
  • 46 Conference contribution
  • 21 Article
  • 1 Chapter
  • 1 Editorial

Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy

Huang, C., Kairouz, P. & Sankar, L., Feb 19 2019, Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018. Matthews, M. B. (ed.). IEEE Computer Society, p. 2162-2166 5 p. 8645532. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2018-October).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Privatization

Privacy under hard distortion constraints

Liao, J., Kosut, O., Sankar, L. & Calmon, F. P., Jan 15 2019, 2018 IEEE Information Theory Workshop, ITW 2018. Institute of Electrical and Electronics Engineers Inc., 8613385. (2018 IEEE Information Theory Workshop, ITW 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

A Tunable Measure for Information Leakage

Liao, J., Kosut, O., Sankar, L. & Calmon, F. P., Aug 15 2018, 2018 IEEE International Symposium on Information Theory, ISIT 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-June. p. 701-705 5 p. 8437307

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Leakage
Refining
Channel capacity
Quasiconvexity
Chemical analysis
3 Citations (Scopus)
Linear regression
Information systems
2 Citations (Scopus)

False data injection attacks on phasor measurements that bypass low-rank decomposition

Zhang, J., Chu, Z., Sankar, L. & Kosut, O., Apr 17 2018, 2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 96-101 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Phasor measurement units
Detectors
Decomposition
Convex optimization

Projects 2013 2021