Lalitha Sankar

208 papers A* 6A 1B 33Misc 5Journal 136Unranked 27

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ArcMark: Multi-bit LLM Watermark via Optimal Transport. CoRR Atefeh Gilani, Carol Xuan Long, Sajani Vithana, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2025	J	`jnl`	An information theorist's tour of differential privacy. CoRR Anand D. Sarwate, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	B	`conf`	Auditing Privacy of Additive Noise Mechanisms Using Linear Predictive Models. ISIT Monica Welfert, Nathan Stromberg, Mario Díaz, James Melbourne, Lalitha Sankar
2025	J	`jnl`	CORAL: Disentangling Latent Representations in Long-Tailed Diffusion. CoRR Esther Rodriguez, Monica Welfert, Samuel McDowell, Nathan Stromberg, Julian Antolin Camarena, Lalitha Sankar
2025	J	`jnl`	Generalized Smooth Stochastic Variational Inequalities: Almost Sure Convergence and Convergence Rates. Trans. Mach. Learn. Res. Daniil Vankov, Angelia Nedich, Lalitha Sankar
2025	J	`jnl`	GeoClip: Geometry-Aware Clipping for Differentially Private SGD. CoRR Atefeh Gilani, Naima Tasnim, Lalitha Sankar, Oliver Kosut
2025	J	`jnl`	Linear Dynamics meets Linear MDPs: Closed-Form Optimal Policies via Reinforcement Learning. CoRR Abed AlRahman Al Makdah, Oliver Kosut, Lalitha Sankar, Shaofeng Zou
2025	J	`jnl`	Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features. CoRR Monica Welfert, Nathan Stromberg, Mario Díaz, Lalitha Sankar
2025	J	`jnl`	Optimal Additive Noise Mechanisms for Differential Privacy. CoRR Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	A*	`conf`	Optimizing (L0, L1)-Smooth Functions by Gradient Methods. ICLR Daniil Vankov, Anton Rodomanov, Angelia Nedich, Lalitha Sankar, Sebastian U. Stich
2025	A*	`conf`	Optimizing Noise Distributions for Differential Privacy. ICML Atefeh Gilani, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2025	J	`jnl`	POCAII: Parameter Optimization with Conscious Allocation using Iterative Intelligence. CoRR Joshua Inman, Tanmay Khandait, Lalitha Sankar, Giulia Pedrielli
2025	B	`conf`	Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions. ITW Naima Tasnim, Atefeh Gilani, Lalitha Sankar, Oliver Kosut
2025	J	`jnl`	Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions. CoRR Naima Tasnim, Atefeh Gilani, Lalitha Sankar, Oliver Kosut
2025	J	`jnl`	Robust Model Selection of Gaussian Graphical Models. Trans. Mach. Learn. Res. Abrar Zahin, Rajasekhar Anguluri, Lalitha Sankar, Oliver Kosut, Gautam Dasarathy
2025	J	`jnl`	Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining. CoRR Nathan Stromberg, Christos Thrampoulidis, Lalitha Sankar
2024	J	`jnl`	Addressing GAN Training Instabilities via Tunable Classification Losses. IEEE J. Sel. Areas Inf. Theory Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
2024	—	`conf`	An Adversarial Approach to Evaluating the Robustness of Event Identification Models. SmartGridComm Obai Bahwal, Oliver Kosut, Lalitha Sankar
2024	J	`jnl`	An Adversarial Approach to Evaluating the Robustness of Event Identification Models. CoRR Obai Bahwal, Oliver Kosut, Lalitha Sankar
2024	J	`jnl`	An Operational Approach to Information Leakage via Generalized Gain Functions. IEEE Trans. Inf. Theory Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut
2024	B	`conf`	Differential-Privacy Capacity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2024	A*	`conf`	Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections. NeurIPS Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar
2024	—	`conf`	Fairness-Enhancing Data Augmentation Methods for Worst-Group Accuracy. AFME Monica Welfert, Nathan Stromberg, Lalitha Sankar
2024	J	`jnl`	For Robust Worst-Group Accuracy, Ignore Group Annotations. Trans. Mach. Learn. Res. Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Richard Nock, Lalitha Sankar
2024	A*	`conf`	Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes. ICML Daniil Vankov, Angelia Nedich, Lalitha Sankar
2024	J	`jnl`	Identifying Edge Changes in Networks From Input and Output Covariance Data. IEEE Control. Syst. Lett. Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar
2024	J	`jnl`	Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading. CoRR Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar
2024	J	`jnl`	Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations. CoRR Joel Mathias, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar
2024	J	`jnl`	Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. CoRR Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar
2024	B	`conf`	Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. ISIT Monica Welfert, Nathan Stromberg, Lalitha Sankar
2024	J	`jnl`	Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. CoRR Monica Welfert, Nathan Stromberg, Lalitha Sankar
2024	J	`jnl`	Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL). IEEE Trans. Inf. Theory Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2023	J	`jnl`	(α, β)-Leakage: A Unified Privacy Leakage Measure. CoRR Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2023	B	`conf`	(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. ISIT Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
2023	J	`jnl`	A Semi-Supervised Approach for Power System Event Identification. CoRR Nima Taghipourbazargani, Lalitha Sankar, Oliver Kosut
2023	J	`jnl`	Addressing GAN Training Instabilities via Tunable Classification Losses. CoRR Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
2023	J	`jnl`	Localization and Estimation of Unknown Forced Inputs: A Group LASSO Approach. IEEE Trans. Control. Netw. Syst. Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar
2023	B	`conf`	Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	J	`jnl`	PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. IEEE Trans. Vis. Comput. Graph. Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, Chris Bryan
2023	Misc	`conf`	Parameter Optimization with Conscious Allocation (POCA). WSC Joshua Inman, Tanmay Khandait, Giulia Pedrielli, Lalitha Sankar
2023	J	`jnl`	Parameter Optimization with Conscious Allocation (POCA). CoRR Joshua Inman, Tanmay Khandait, Giulia Pedrielli, Lalitha Sankar
2023	B	`conf`	Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar
2023	A	`conf`	Smoothly Giving up: Robustness for Simple Models. AISTATS Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar
2023	J	`jnl`	Smoothly Giving up: Robustness for Simple Models. CoRR Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar
2023	—	`conf`	Source Localization in Linear Dynamical Systems using Subspace Model Identification. CCTA Rajasekhar Anguluri, Nima Taghipourbazargani, Oliver Kosut, Lalitha Sankar
2023	A*	`conf`	The Saddle-Point Method in Differential Privacy. ICML Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2023	J	`jnl`	Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. CoRR Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
2022	J	`jnl`	A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data. CoRR Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar, Oliver Kosut
2022	J	`jnl`	A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Trans. Inf. Theory Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar
2022	B	`conf`	A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. ISIT Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2022	J	`jnl`	A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. CoRR Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2022	B	`conf`	An Alphabet of Leakage Measures. ITW Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2022	J	`jnl`	An Alphabet of Leakage Measures. CoRR Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2022	J	`jnl`	An Operational Approach to Information Leakage via Generalized Gain Functions. CoRR Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut
2022	J	`jnl`	AugLoss: A Learning Methodology for Real-World Dataset Corruption. CoRR Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar
2022	A*	`conf`	Being Properly Improper. ICML Tyler Sypherd, Richard Nock, Lalitha Sankar
2022	B	`conf`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	J	`jnl`	Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	J	`jnl`	Generating Fair Universal Representations Using Adversarial Models. IEEE Trans. Inf. Forensics Secur. Peter Kairouz, Jiachun Liao, Chong Huang, Maunil Vyas, Monica Welfert, Lalitha Sankar
2022	J	`jnl`	Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. IEEE Control. Syst. Lett. Anguluri Rajasekhar, Gautam Dasarathy, Oliver Kosut, Lalitha Sankar
2022	J	`jnl`	PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. CoRR Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, Chris Bryan
2022	J	`jnl`	PMUVis : A Large-Scale Platform to Assist Power System Operators in a Smart Grid. IEEE Computer Graphics and Applications Anjana Arunkumar, Nitin Gupta, Andrea Pinceti, Lalitha Sankar, Chris Bryan
2022	J	`jnl`	Parameter Estimation in Ill-conditioned Low-inertia Power Systems. CoRR Anguluri Rajasekhar, Lalitha Sankar, Oliver Kosut
2022	J	`jnl`	Robust Model Selection of Non Tree-Structured Gaussian Graphical Models. CoRR Abrar Zahin, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar, Gautam Dasarathy
2022	J	`jnl`	The Saddle-Point Accountant for Differential Privacy. CoRR Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei
2022	B	`conf`	α-GAN: Convergence and Estimation Guarantees. ISIT Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
2022	J	`jnl`	α-GAN: Convergence and Estimation Guarantees. CoRR Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
2021	J	`jnl`	A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid. CoRR Zhigang Chu, Andrea Pinceti, Ramin Kaviani, Roozbeh Khodadadeh, Xingpeng Li, Jiazi Zhang, Karthik Saikumar, Mostafa Sahraei-Ardakani, Christopher Mosier, Robin Podmore, Kory W. Hedman, Oliver Kosut, Lalitha Sankar
2021	J	`jnl`	An Overview of Information-Theoretic Security and Privacy: Metrics, Limits and Applications. IEEE J. Sel. Areas Inf. Theory Matthieu R. Bloch, Onur Günlü, Aylin Yener, Frédérique E. Oggier, H. Vincent Poor, Lalitha Sankar, Rafael F. Schaefer
2021	J	`jnl`	Being Properly Improper. CoRR Richard Nock, Tyler Sypherd, Lalitha Sankar
2021	J	`jnl`	Editorial. IEEE J. Sel. Areas Inf. Theory H. Vincent Poor, Matthieu R. Bloch, Onur Günlü, Frédérique E. Oggier, Lalitha Sankar, Rafael F. Schaefer, Aylin Yener
2021	B	`conf`	Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. ISIT Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2021	J	`jnl`	Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. CoRR Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
2021	J	`jnl`	Generation of Synthetic Multi-Resolution Time Series Load Data. CoRR Andrea Pinceti, Lalitha Sankar, Oliver Kosut
2021	J	`jnl`	Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation. CoRR Mario Díaz, Peter Kairouz, Lalitha Sankar
2021	B	`conf`	Neural Network-based Estimation of the MMSE. ISIT Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar
2021	B	`conf`	Realizing GANs via a Tunable Loss Function. ITW Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
2021	J	`jnl`	Realizing GANs via a Tunable Loss Function. CoRR Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
2021	J	`jnl`	Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks. CoRR Andrea Pinceti, Lalitha Sankar, Oliver Kosut
2021	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	B	`conf`	A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	Detecting Load Redistribution Attacks via Support Vector Models. CoRR Zhigang Chu, Oliver Kosut, Lalitha Sankar
2020	—	`conf`	Maximal α-Leakage and its Properties. CNS Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2020	J	`jnl`	N-1 Reliability Makes It Difficult for False Data Injection Attacks to Cause Physical Consequences. CoRR Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2020	J	`jnl`	On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2020	J	`jnl`	On the alpha-loss Landscape in the Logistic Model. CoRR Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
2020	B	`conf`	On the α-loss Landscape in the Logistic Model. ISIT Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy
2020	J	`jnl`	Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar
2020	—	`conf`	Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. SmartGridComm Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2019	B	`conf`	A Tunable Loss Function for Binary Classification. ISIT Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
2019	J	`jnl`	A Tunable Loss Function for Binary Classification. CoRR Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz
2019	J	`jnl`	A Tunable Loss Function for Classification. CoRR Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy
2019	—	`conf`	Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? SmartGridComm Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar
2019	J	`jnl`	Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? CoRR Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar
2019	J	`jnl`	Detection and Localization of Load Redistribution Attacks on Large Scale Systems. CoRR Andrea Pinceti, Lalitha Sankar, Oliver Kosut
2019	J	`jnl`	Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints. CoRR Jiachun Liao, Chong Huang, Peter Kairouz, Lalitha Sankar
2019	B	`conf`	Robustness of Maximal α-Leakage to Side Information. ISIT Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2019	J	`jnl`	Robustness of Maximal α-Leakage to Side Information. CoRR Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon
2019	J	`jnl`	Theoretical Guarantees for Model Auditing with Finite Adversaries. CoRR Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar
2019	J	`jnl`	Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. IEEE Trans. Inf. Theory Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon
2019	J	`jnl`	Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks. CoRR Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2018	B	`conf`	A Tunable Measure for Information Leakage. ISIT Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	A Tunable Measure for Information Leakage. CoRR Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	Generative Adversarial Privacy. CoRR Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal
2018	Misc	`conf`	Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy. ACSSC Chong Huang, Peter Kairouz, Lalitha Sankar
2018	J	`jnl`	Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. IEEE Trans. Inf. Forensics Secur. Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon
2018	—	`conf`	Impact of Privacy on Free Online Service Markets. GameSec Chong Huang, Lalitha Sankar
2018	J	`jnl`	On the Contractivity of Privacy Mechanisms. CoRR Mario Díaz, Lalitha Sankar, Peter Kairouz
2018	J	`jnl`	On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar
2018	B	`conf`	Privacy Under Hard Distortion Constraints. ITW Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	Privacy Under Hard Distortion Constraints. CoRR Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon
2018	J	`jnl`	Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2018	B	`conf`	The Utility Cost of Robust Privacy Guarantees. ISIT Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2018	J	`jnl`	The Utility Cost of Robust Privacy Guarantees. CoRR Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar
2018	J	`jnl`	Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. CoRR Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon
2018	—	`conf`	Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. SmartGridComm Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2018	J	`jnl`	Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. CoRR Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2017	J	`jnl`	Asymptotics and Non-Asymptotics for Universal Fixed-to-Variable Source Coding. IEEE Trans. Inf. Theory Oliver Kosut, Lalitha Sankar
2017	J	`jnl`	Can Attackers with Limited Information Exploit Historical Data to Mount Successful False Data Injection Attacks on Power Systems? CoRR Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut
2017	J	`jnl`	Context-Aware Generative Adversarial Privacy. CoRR Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal
2017	J	`jnl`	Context-Aware Generative Adversarial Privacy. Entropy Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal
2017	J	`jnl`	False Data Injection Attacks on Phasor Measurements That Bypass Low-rank Decomposition. CoRR Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut
2017	—	`conf`	False data injection attacks on phasor measurements that bypass low-rank decomposition. SmartGridComm Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut
2017	J	`jnl`	Hypothesis Testing under Maximal Leakage Privacy Constraints. CoRR Jiachun Liao, Lalitha Sankar, Flávio du Pin Calmon, Vincent Yan Fu Tan
2017	J	`jnl`	Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime. CoRR Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon
2017	B	`conf`	Hypothesis testing under maximal leakage privacy constraints. ISIT Jiachun Liao, Lalitha Sankar, Flávio P. Calmon, Vincent Y. F. Tan
2017	J	`jnl`	Information-Theoretic Privacy with General Distortion Constraints. CoRR Kousha Kalantari, Oliver Kosut, Lalitha Sankar
2017	B	`conf`	On information-theoretic privacy with general distortion cost functions. ISIT Kousha Kalantari, Lalitha Sankar, Oliver Kosut
2017	J	`jnl`	Privacy-Guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. IEEE Trans. Inf. Forensics Secur. Bahman Moraffah, Lalitha Sankar
2017	J	`jnl`	Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. CoRR Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2016	J	`jnl`	Evaluating Power System Vulnerability to False Data Injection Attacks via Scalable Optimization. CoRR Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2016	—	`conf`	Evaluating power system vulnerability to false data injection attacks via scalable optimization. SmartGridComm Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar
2016	J	`jnl`	Hypothesis Testing in the High Privacy Limit. CoRR Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon
2016	—	`conf`	Hypothesis testing in the high privacy limit. Allerton Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon
2016	Misc	`conf`	Incentive mechanisms for privacy-sensitive electricity consumers with alternative energy sources. CISS Chong Huang, Lalitha Sankar
2016	J	`jnl`	Market Segmentation for Privacy Differentiated "Free" Services. CoRR Chong Huang, Lalitha Sankar
2016	—	`conf`	On the fine asymptotics of information theoretic privacy. Allerton Kousha Kalantari, Oliver Kosut, Lalitha Sankar
2016	B	`conf`	Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2016	J	`jnl`	Physical System Consequences of Unobservable State-and-Topology Cyber-Physical Attacks. IEEE Trans. Smart Grid Jiazi Zhang, Lalitha Sankar
2016	J	`jnl`	Privacy-guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. CoRR Bahman Moraffah, Lalitha Sankar
2016	J	`jnl`	The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate
2015	—	`conf`	Cluster-and-Connect: An algorithmic approach to generating synthetic electric power network graphs. Allerton Jiale Hu, Lalitha Sankar, Darakhshan J. Mir
2015	—	`conf`	Cluster-and-connect: A more realistic model for the electric power network topology. SmartGridComm Jiale Hu, Lalitha Sankar, Darakhshan J. Mir
2015	J	`jnl`	Designing Incentive Schemes For Privacy-Sensitive Users. CoRR Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	J	`jnl`	Designing Incentive Schemes for Privacy-Sensitive Users. J. Priv. Confidentiality Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	J	`jnl`	Enabling Data Exchange in Two-Agent Interactive Systems Under Privacy Constraints. IEEE J. Sel. Top. Signal Process. Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor
2015	J	`jnl`	Implication of Unobservable State-and-topology Cyber-physical Attacks. CoRR Jiazi Zhang, Lalitha Sankar
2015	—	`conf`	Incentive Schemes for Privacy-Sensitive Consumers. GameSec Chong Huang, Lalitha Sankar, Anand D. Sarwate
2015	—	`conf`	Information-theoretic private interactive mechanism. Allerton Bahman Moraffah, Lalitha Sankar
2015	J	`jnl`	Introduction to the Issue on Signal and Information Processing for Privacy. IEEE J. Sel. Top. Signal Process. Wade Trappe, Lalitha Sankar, Radha Poovendran, Heejo Lee, Srdjan Capkun
2015	J	`jnl`	Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation. CoRR Jingwen Liang, Lalitha Sankar, Oliver Kosut
2014	—	`conf`	A rate-disortion perspective on local differential privacy. Allerton Anand D. Sarwate, Lalitha Sankar
2014	J	`jnl`	Asymptotics and Non-asymptotics for Universal Fixed-to-Variable Source Coding. CoRR Oliver Kosut, Lalitha Sankar
2014	J	`jnl`	Enabling Data Exchange in Interactive State Estimation under Privacy Constraints. CoRR Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor
2014	B	`conf`	New results on third-order coding rate for universal fixed-to-variable source coding. ISIT Oliver Kosut, Lalitha Sankar
2013	—	`conf`	Competitive privacy: Distributed computation with privacy guarantees. GlobalSIP Lalitha Sankar
2013	J	`jnl`	Discriminatory Lossy Source Coding: Side Information Privacy. IEEE Trans. Inf. Theory Ravi Tandon, Lalitha Sankar, H. Vincent Poor
2013	J	`jnl`	Signal Processing for Cybersecurity and Privacy [From the Guest Editors]. IEEE Signal Process. Mag. Lalitha Sankar, Wade Trappe, H. Vincent Poor, Mérouane Debbah
2013	J	`jnl`	Smart Meter Privacy: A Theoretical Framework. IEEE Trans. Smart Grid Lalitha Sankar, S. Raj Rajagopalan, Soheil Mohajer, H. Vincent Poor
2013	J	`jnl`	The Role of Signal Processing in Meeting Privacy Challenges: An Overview. IEEE Signal Process. Mag. Lalitha Sankar, Wade Trappe, Kannan Ramchandran, H. Vincent Poor, Mérouane Debbah
2013	B	`conf`	Universal fixed-to-variable source coding in the finite blocklength regime. ISIT Oliver Kosut, Lalitha Sankar
2013	J	`jnl`	Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach. IEEE Trans. Inf. Forensics Secur. Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2012	—	`conf`	Competitive privacy in the smart grid. ACSCC Lalitha Sankar, Soummya Kar, H. Vincent Poor
2012	J	`jnl`	Distributed Estimation in Multi-Agent Networks CoRR Lalitha Sankar, H. Vincent Poor
2012	B	`conf`	Distributed estimation in multi-agent networks. ISIT Lalitha Sankar, H. Vincent Poor
2012	—	`conf`	Pricing mechanisms for cooperative state estimation. ISCCSP Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor, Mérouane Debbah
2012	—	`conf`	Repeated games for privacy-aware distributed state estimation in interconnected networks. NetGCooP Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor
2012	—	`conf`	Session TA4b: Signal processing for cyber-security and privacy in networks (invited). ACSCC Lalitha Sankar
2012	Misc	`conf`	Twitter vs. printed English: An information-theoretic comparison. ICASSP Emma Glennon, Lalitha Sankar, H. Vincent Poor
2011	J	`jnl`	A Theory of Privacy and Utility in Databases CoRR Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2011	J	`jnl`	Competitive Privacy in the Smart Grid: An Information-theoretic Approach CoRR Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor
2011	—	`conf`	Competitive privacy in the smart grid: An information-theoretic approach. SmartGridComm Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor
2011	J	`jnl`	Dedicated-Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks. J. Commun. Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam
2011	J	`jnl`	Discriminatory Lossy Source Coding: Side Information Privacy CoRR Ravi Tandon, Lalitha Sankar, H. Vincent Poor
2011	B	`conf`	Discriminatory Lossy Source Coding: Side Information Privacy. GLOBECOM Ravi Tandon, Lalitha Sankar, H. Vincent Poor
2011	J	`jnl`	Ergodic Fading Interference Channels: Sum-Capacity and Separability. IEEE Trans. Inf. Theory Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor
2011	J	`jnl`	Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling. IEEE Trans. Inf. Theory Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, Harold Vincent Poor
2011	J	`jnl`	Multi-User Privacy: The Gray-Wyner System and Generalized Common Information CoRR Ravi Tandon, Lalitha Sankar, H. Vincent Poor
2011	B	`conf`	Multi-user privacy: The Gray-Wyner system and generalized common information. ISIT Ravi Tandon, Lalitha Sankar, H. Vincent Poor
2011	J	`jnl`	Smart Meter Privacy: A Utility-Privacy Framework CoRR S. Raj Rajagopalan, Lalitha Sankar, Soheil Mohajer, H. Vincent Poor
2011	—	`conf`	Smart meter privacy: A utility-privacy framework. SmartGridComm S. Raj Rajagopalan, Lalitha Sankar, Soheil Mohajer, H. Vincent Poor
2010	J	`jnl`	A General Coding Scheme for Two-User Fading Interference Channels CoRR Lalitha Sankar, Elza Erkip, H. Vincent Poor
2010	B	`conf`	A theory of utility and privacy of data sources. ISIT Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2010	J	`jnl`	An Information-theoretic Approach to Privacy CoRR Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2010	—	`conf`	An information-theoretic approach to privacy. Allerton Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2010	J	`jnl`	Utility and Privacy of Data Sources: Can Shannon Help Conceal and Reveal Information? CoRR Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2010	Misc	`conf`	Utility and privacy of data sources: Can Shannon help conceal and reveal information? ITA Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor
2009	J	`jnl`	Ergodic Fading Interference Channels: Sum-Capacity and Separability CoRR Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor
2009	J	`jnl`	Ergodic Layered Erasure One-Sided Interference Channels CoRR Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2009	J	`jnl`	Frequency of Occurrence and Information Entropy of American Sign Language CoRR Andrew Chong, Lalitha Sankar, H. Vincent Poor
2009	B	`conf`	Information secrecy from multiple eavesdroppers in orthogonal relay channels. ISIT H. Vincent Poor, Lalitha Sankar, Vaneet Aggarwal, A. Robert Calderbank
2009	J	`jnl`	K-User Fading Interference Channels: The Ergodic Very Strong Case CoRR Lalitha Sankar, Jan Vondrák, H. Vincent Poor
2009	—	`conf`	K-user fading interference channels: The ergodic very strong case. Allerton Lalitha Sankar, Jan Vondrák, H. Vincent Poor
2009	J	`jnl`	On the sum-capacity of degraded Gaussian multiple-access relay channels. IEEE Trans. Inf. Theory Lalitha Sankar, Narayan B. Mandayam, H. Vincent Poor
2009	J	`jnl`	Opportunistic Communications in Fading Multiaccess Relay Channels CoRR Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, H. Vincent Poor
2009	J	`jnl`	Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels. EURASIP J. Wirel. Commun. Netw. Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2008	J	`jnl`	Coalitions in Cooperative Wireless Networks CoRR Suhas Mathur, Lalitha Sankar, Narayan B. Mandayam
2008	J	`jnl`	Coalitions in Cooperative Wireless Networks. IEEE J. Sel. Areas Commun. Suhas Mathur, Lalitha Sankar, Narayan B. Mandayam
2008	—	`conf`	Ergodic two-user interference channels: Is separability optimal? Allerton Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor
2008	J	`jnl`	On the Sum-Capacity of Degraded Gaussian Multiaccess Relay Channels CoRR Lalitha Sankar, Narayan B. Mandayam, H. Vincent Poor
2008	J	`jnl`	Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks CoRR Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam
2008	J	`jnl`	Secrecy capacity of a class of orthogonal relay eavesdropper channels CoRR Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor
2008	J	`jnl`	Sum-Capacity of Ergodic Fading Interference and Compound Multiaccess Channels CoRR Lalitha Sankar, Elza Erkip, H. Vincent Poor
2008	B	`conf`	Sum-capacity of ergodic fading interference and compound multiaccess channels. ISIT Lalitha Sankar, Elza Erkip, H. Vincent Poor
2007	J	`jnl`	Offset Encoding for Multiple-Access Relay Channels. IEEE Trans. Inf. Theory Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam
2007	J	`jnl`	Opportunistic Communications in an Orthogonal Multiaccess Relay Channel CoRR Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam
2007	B	`conf`	Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. ISIT Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam