• 1100 Citations
  • 16 h-Index
20072023
If you made any changes in Pure, your changes will be visible here soon.

Fingerprint Dive into the research topics where Lalitha Sankar is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2007 2019

  • 1100 Citations
  • 16 h-Index
  • 49 Conference contribution
  • 21 Article
  • 1 Chapter
  • 1 Editorial

A Tunable Loss Function for Binary Classification

Sypherd, T., Diaz, M., Sankar, L. & Kairouz, P., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2479-2483 5 p. 8849796. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

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

Binary Classification
Loss Function
Logistic Regression
Logistics
Risk Function

Can predictive filters detect gradually ramping false data injection attacks against PMUs?

Chu, Z., Pinceti, A., Biswas, R. S., Kosut, O., Pal, A. & Sankar, L., Oct 2019, 2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019. Institute of Electrical and Electronics Engineers Inc., 8909739. (2019 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2019).

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

Injection
Attack
Filter
Detectors
Overload

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

Robustness of Maximal α-Leakage to Side Information

Liao, J., Sankar, L., Kosut, O. & Calmon, F. P., Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 642-646 5 p. 8849769. (IEEE International Symposium on Information Theory - Proceedings; vol. 2019-July).

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

Side Information
Leakage
Robustness
Channel capacity
Measures of Information

Projects 2013 2023