Lalitha Sankar

Lalitha Sankar

Arizona State University

H-index: 32

North America-United States

About Lalitha Sankar

Lalitha Sankar, With an exceptional h-index of 32 and a recent h-index of 25 (since 2020), a distinguished researcher at Arizona State University, specializes in the field of Information theory, statistical machine learning, privacy, cybersecurity and analytics for electric power systems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL)

Identifying Edge Changes in Networks From Input and Output Covariance Data

An Adversarial Approach to Evaluating the Robustness of Event Identification Models

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains

Adaptive Methods for Variational Inequalities under Relaxed Smoothness Assumption

Parameter Optimization with Conscious Allocation (POCA)

An operational approach to information leakage via generalized gain functions

Addressing GAN Training Instabilities via Tunable Classification Losses

Lalitha Sankar Information

University

Position

Associate Professor

Citations(all)

4379

Citations(since 2020)

2245

Cited By

3068

hIndex(all)

32

hIndex(since 2020)

25

i10Index(all)

79

i10Index(since 2020)

46

Email

University Profile Page

Google Scholar

Lalitha Sankar Skills & Research Interests

Information theory

statistical machine learning

privacy

cybersecurity and analytics for electric power systems

Top articles of Lalitha Sankar

Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL)

IEEE Transactions on Information Theory

2024/4/3

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Identifying Edge Changes in Networks From Input and Output Covariance Data

IEEE Control Systems Letters

2024/3/29

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

An Adversarial Approach to Evaluating the Robustness of Event Identification Models

arXiv preprint arXiv:2402.12338

2024/2/19

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains

arXiv preprint arXiv:2402.11039

2024/2/16

Sanmi Koyejo
Sanmi Koyejo

H-Index: 18

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Adaptive Methods for Variational Inequalities under Relaxed Smoothness Assumption

arXiv preprint arXiv:2402.05691

2024/2/8

Angelia Nedich
Angelia Nedich

H-Index: 48

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Parameter Optimization with Conscious Allocation (POCA)

2023/12/10

An operational approach to information leakage via generalized gain functions

IEEE Transactions on Information Theory

2023/12/8

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Oliver Kosut
Oliver Kosut

H-Index: 16

Addressing GAN Training Instabilities via Tunable Classification Losses

arXiv preprint arXiv:2310.18291

2023/10/27

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Last Iterate Convergence of Popov Method for Non-monotone Stochastic Variational Inequalities

arXiv preprint arXiv:2310.16910

2023/10/25

Angelia Nedich
Angelia Nedich

H-Index: 48

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Generation of synthetic multi‐resolution time series load data

IET Smart Grid

2023/10

A Semi-Supervised Approach for Power System Event Identification

arXiv preprint arXiv:2309.10095

2023/9/18

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Oliver Kosut
Oliver Kosut

H-Index: 16

Source Localization in Linear Dynamical Systems using Subspace Model Identification

2023/8/16

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Tunable Dual-Objective GANs for Stable Training

2023/8/7

Lalitha Sankar
Lalitha Sankar

H-Index: 19

The saddle-point method in differential privacy

2023/7/3

Schrödinger mechanisms: Optimal differential privacy mechanisms for small sensitivity

2023/6/25

Optimal multidimensional differentially private mechanisms in the large-composition regime

2023/6/25

(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives

2023/6/25

Lalitha Sankar
Lalitha Sankar

H-Index: 19

-Leakage: A Unified Privacy Leakage Measure

arXiv preprint arXiv:2304.07456

2023/4/15

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Localization and estimation of unknown forced inputs: A group LASSO approach

IEEE Transactions on Control of Network Systems

2023/3/17

Oliver Kosut
Oliver Kosut

H-Index: 16

Lalitha Sankar
Lalitha Sankar

H-Index: 19

Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters

arXiv e-prints

2023/2

Lalitha Sankar
Lalitha Sankar

H-Index: 19

See List of Professors in Lalitha Sankar University(Arizona State University)

Co-Authors

academic-engine