Hierarchical sensor networks: capacity bounds and cooperative strategies using the multiple-access relay channel model. - Lalitha Sankaranarayanan; Gerhard Kramer; Narayan B. Mandayam (SECON, 2004)

Cooperation vs. hierarchy: an information-theoretic comparison. - Lalitha Sankaranarayanan; Gerhard Kramer; Narayan B. Mandayam (ISIT, 2005)

Coalitional Games in Receiver Cooperation for Spectrum Sharing. - Suhas Mathur; Lalitha Sankaranarayanan; Narayan B. Mandayam (CISS, 2006)

Coalitional Games in Gaussian Interference Channels. - Suhas Mathur; Lalitha Sankaranarayanan; Narayan B. Mandayam (ISIT, 2006)

Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. - Lalitha Sankar; Yingbin Liang; H. Vincent Poor; Narayan B. Mandayam (ISIT, 2007)

Offset Encoding for Multiple-Access Relay Channels. - Lalitha Sankar; Gerhard Kramer; Narayan B. Mandayam (IEEE Trans. Inf. Theory, 2007)

Ergodic two-user interference channels: Is separability optimal? - Lalitha Sankar; Xiaohu Shang; Elza Erkip; H. Vincent Poor (Allerton, 2008)

Sum-capacity of ergodic fading interference and compound multiaccess channels. - Lalitha Sankar; Elza Erkip; H. Vincent Poor (ISIT, 2008)

On the Sum-Capacity of Degraded Gaussian Multiaccess Relay Channels - Lalitha Sankar; Narayan B. Mandayam; H. Vincent Poor (CoRR, 2008)

Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks - Lalitha Sankar; Gerhard Kramer; Narayan B. Mandayam (CoRR, 2008)

Coalitions in Cooperative Wireless Networks. - Suhas Mathur; Lalitha Sankar; Narayan B. Mandayam (IEEE J. Sel. Areas Commun., 2008)

K-user fading interference channels: The ergodic very strong case. - Lalitha Sankar; Jan Vondrák; H. Vincent Poor (Allerton, 2009)

Information secrecy from multiple eavesdroppers in orthogonal relay channels. - H. Vincent Poor; Lalitha Sankar; Vaneet Aggarwal; A. Robert Calderbank (ISIT, 2009)

Opportunistic Communications in Fading Multiaccess Relay Channels - Lalitha Sankar; Yingbin Liang; Narayan B. Mandayam; H. Vincent Poor (CoRR, 2009)

Ergodic Layered Erasure One-Sided Interference Channels - Vaneet Aggarwal; Lalitha Sankar; A. Robert Calderbank; H. Vincent Poor (CoRR, 2009)

Frequency of Occurrence and Information Entropy of American Sign Language - Andrew Chong; Lalitha Sankar; H. Vincent Poor (CoRR, 2009)

Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels. - Vaneet Aggarwal; Lalitha Sankar; A. Robert Calderbank; H. Vincent Poor (EURASIP J. Wirel. Commun. Netw., 2009)

On the sum-capacity of degraded Gaussian multiple-access relay channels. - Lalitha Sankar; Narayan B. Mandayam; H. Vincent Poor (IEEE Trans. Inf. Theory, 2009)

An information-theoretic approach to privacy. - Lalitha Sankar; S. Raj Rajagopalan; H. Vincent Poor (Allerton, 2010)

A theory of utility and privacy of data sources. - Lalitha Sankar; S. Raj Rajagopalan; H. Vincent Poor (ISIT, 2010)

Utility and privacy of data sources: Can Shannon help conceal and reveal information? - Lalitha Sankar; S. Raj Rajagopalan; H. Vincent Poor (ITA, 2010)

A General Coding Scheme for Two-User Fading Interference Channels - Lalitha Sankar; Elza Erkip; H. Vincent Poor (CoRR, 2010)

Multi-user privacy: The Gray-Wyner system and generalized common information. - Ravi Tandon; Lalitha Sankar; H. Vincent Poor (ISIT, 2011)

Smart meter privacy: A utility-privacy framework. - S. Raj Rajagopalan; Lalitha Sankar; Soheil Mohajer; H. Vincent Poor (SmartGridComm, 2011)

Competitive privacy in the smart grid: An information-theoretic approach. - Lalitha Sankar; Soummya Kar; Ravi Tandon; H. Vincent Poor (SmartGridComm, 2011)

A Theory of Privacy and Utility in Databases - Lalitha Sankar; S. Raj Rajagopalan; H. Vincent Poor (CoRR, 2011)

Dedicated-Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks. - Lalitha Sankar; Gerhard Kramer; Narayan B. Mandayam (J. Commun., 2011)

Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling. - Lalitha Sankar; Yingbin Liang; Narayan B. Mandayam; Harold Vincent Poor (IEEE Trans. Inf. Theory, 2011)

Ergodic Fading Interference Channels: Sum-Capacity and Separability. - Lalitha Sankar; Xiaohu Shang; Elza Erkip; H. Vincent Poor (IEEE Trans. Inf. Theory, 2011)

Session TA4b: Signal processing for cyber-security and privacy in networks (invited). - Lalitha Sankar (ACSCC, 2012)

Competitive privacy in the smart grid. - Lalitha Sankar; Soummya Kar; H. Vincent Poor (ACSCC, 2012)

Twitter vs. printed English: An information-theoretic comparison. - Emma Glennon; Lalitha Sankar; H. Vincent Poor (ICASSP, 2012)

Pricing mechanisms for cooperative state estimation. - Elena Veronica Belmega; Lalitha Sankar; H. Vincent Poor; Mérouane Debbah (ISCCSP, 2012)

Distributed estimation in multi-agent networks. - Lalitha Sankar; H. Vincent Poor (ISIT, 2012)

Repeated games for privacy-aware distributed state estimation in interconnected networks. - Elena Veronica Belmega; Lalitha Sankar; H. Vincent Poor (NetGCooP, 2012)

Competitive privacy: Distributed computation with privacy guarantees. - Lalitha Sankar (GlobalSIP, 2013)

Universal fixed-to-variable source coding in the finite blocklength regime. - Oliver Kosut; Lalitha Sankar (ISIT, 2013)

Signal Processing for Cybersecurity and Privacy [From the Guest Editors]. - Lalitha Sankar; Wade Trappe; H. Vincent Poor; Mérouane Debbah (IEEE Signal Process. Mag., 2013)

The Role of Signal Processing in Meeting Privacy Challenges: An Overview. - Lalitha Sankar; Wade Trappe; Kannan Ramchandran; H. Vincent Poor; Mérouane Debbah (IEEE Signal Process. Mag., 2013)

Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach. - Lalitha Sankar; S. Raj Rajagopalan; H. Vincent Poor (IEEE Trans. Inf. Forensics Secur., 2013)

Discriminatory Lossy Source Coding: Side Information Privacy. - Ravi Tandon; Lalitha Sankar; H. Vincent Poor (IEEE Trans. Inf. Theory, 2013)

Smart Meter Privacy: A Theoretical Framework. - Lalitha Sankar; S. Raj Rajagopalan; Soheil Mohajer; H. Vincent Poor (IEEE Trans. Smart Grid, 2013)

A rate-disortion perspective on local differential privacy. - Anand D. Sarwate; Lalitha Sankar (Allerton, 2014)

New results on third-order coding rate for universal fixed-to-variable source coding. - Oliver Kosut; Lalitha Sankar (ISIT, 2014)

Enabling Data Exchange in Interactive State Estimation under Privacy Constraints. - Elena Veronica Belmega; Lalitha Sankar; H. Vincent Poor (CoRR, 2014)

Cluster-and-Connect: An algorithmic approach to generating synthetic electric power network graphs. - Jiale Hu; Lalitha Sankar; Darakhshan J. Mir (Allerton, 2015)

Information-theoretic private interactive mechanism. - Bahman Moraffah; Lalitha Sankar (Allerton, 2015)

Incentive Schemes for Privacy-Sensitive Consumers. - Chong Huang; Lalitha Sankar; Anand D. Sarwate (GameSec, 2015)

Cluster-and-connect: A more realistic model for the electric power network topology. - Jiale Hu; Lalitha Sankar; Darakhshan J. Mir (SmartGridComm, 2015)

Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation. - Jingwen Liang; Lalitha Sankar; Oliver Kosut (CoRR, 2015)

Implication of Unobservable State-and-topology Cyber-physical Attacks. - Jiazi Zhang; Lalitha Sankar (CoRR, 2015)

Designing Incentive Schemes for Privacy-Sensitive Users. - Chong Huang; Lalitha Sankar; Anand D. Sarwate (J. Priv. Confidentiality, 2015)

Enabling Data Exchange in Two-Agent Interactive Systems Under Privacy Constraints. - Elena Veronica Belmega; Lalitha Sankar; H. Vincent Poor (IEEE J. Sel. Top. Signal Process., 2015)

Introduction to the Issue on Signal and Information Processing for Privacy. - Wade Trappe; Lalitha Sankar; Radha Poovendran; Heejo Lee; Srdjan Capkun (IEEE J. Sel. Top. Signal Process., 2015)

On the fine asymptotics of information theoretic privacy. - Kousha Kalantari; Oliver Kosut; Lalitha Sankar (Allerton, 2016)

Hypothesis testing in the high privacy limit. - Jiachun Liao; Lalitha Sankar; Vincent Y. F. Tan; Flávio P. Calmon (Allerton, 2016)

Incentive mechanisms for privacy-sensitive electricity consumers with alternative energy sources. - Chong Huang; Lalitha Sankar (CISS, 2016)

Optimal differential privacy mechanisms under Hamming distortion for structured source classes. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (ISIT, 2016)

Evaluating power system vulnerability to false data injection attacks via scalable optimization. - Zhigang Chu; Jiazi Zhang; Oliver Kosut; Lalitha Sankar (SmartGridComm, 2016)

Market Segmentation for Privacy Differentiated "Free" Services. - Chong Huang; Lalitha Sankar (CoRR, 2016)

The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (CoRR, 2016)

Physical System Consequences of Unobservable State-and-Topology Cyber-Physical Attacks. - Jiazi Zhang; Lalitha Sankar (IEEE Trans. Smart Grid, 2016)

On information-theoretic privacy with general distortion cost functions. - Kousha Kalantari; Lalitha Sankar; Oliver Kosut (ISIT, 2017)

Hypothesis testing under maximal leakage privacy constraints. - Jiachun Liao; Lalitha Sankar; Flávio P. Calmon; Vincent Y. F. Tan (ISIT, 2017)

False data injection attacks on phasor measurements that bypass low-rank decomposition. - Jiazi Zhang; Zhigang Chu; Lalitha Sankar; Oliver Kosut (SmartGridComm, 2017)

Can Attackers with Limited Information Exploit Historical Data to Mount Successful False Data Injection Attacks on Power Systems? - Jiazi Zhang; Zhigang Chu; Lalitha Sankar; Oliver Kosut (CoRR, 2017)

Information-Theoretic Privacy with General Distortion Constraints. - Kousha Kalantari; Oliver Kosut; Lalitha Sankar (CoRR, 2017)

Context-Aware Generative Adversarial Privacy. - Chong Huang; Peter Kairouz; Xiao Chen 014; Lalitha Sankar; Ram Rajagopal (Entropy, 2017)

Privacy-Guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. - Bahman Moraffah; Lalitha Sankar (IEEE Trans. Inf. Forensics Secur., 2017)

Asymptotics and Non-Asymptotics for Universal Fixed-to-Variable Source Coding. - Oliver Kosut; Lalitha Sankar (IEEE Trans. Inf. Theory, 2017)

Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy. - Chong Huang; Peter Kairouz; Lalitha Sankar (ACSSC, 2018)

Impact of Privacy on Free Online Service Markets. - Chong Huang; Lalitha Sankar (GameSec, 2018)

A Tunable Measure for Information Leakage. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio P. Calmon (ISIT, 2018)

The Utility Cost of Robust Privacy Guarantees. - Hao Wang 063; Mario Díaz; Flávio P. Calmon; Lalitha Sankar (ISIT, 2018)

Privacy Under Hard Distortion Constraints. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio P. Calmon (ITW, 2018)

Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. - Zhigang Chu; Jiazi Zhang; Oliver Kosut; Lalitha Sankar (SmartGridComm, 2018)

On the Contractivity of Privacy Mechanisms. - Mario Díaz; Lalitha Sankar; Peter Kairouz (CoRR, 2018)

Generative Adversarial Privacy. - Chong Huang; Peter Kairouz; Xiao Chen 014; Lalitha Sankar; Ram Rajagopal (CoRR, 2018)

Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. - Kousha Kalantari; Lalitha Sankar; Anand D. Sarwate (IEEE Trans. Inf. Forensics Secur., 2018)

Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. - Jiachun Liao; Lalitha Sankar; Vincent Y. F. Tan; Flávio du Pin Calmon (IEEE Trans. Inf. Forensics Secur., 2018)

Robustness of Maximal α-Leakage to Side Information. - Jiachun Liao; Lalitha Sankar; Oliver Kosut; Flávio P. Calmon (ISIT, 2019)

A Tunable Loss Function for Binary Classification. - Tyler Sypherd; Mario Díaz; Lalitha Sankar; Peter Kairouz (ISIT, 2019)

Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? - Zhigang Chu; Andrea Pinceti; Reetam Sen Biswas; Oliver Kosut; Anamitra Pal; Lalitha Sankar (SmartGridComm, 2019)

Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks. - Zhigang Chu; Jiazi Zhang; Oliver Kosut; Lalitha Sankar (CoRR, 2019)

A Tunable Loss Function for Classification. - Tyler Sypherd; Mario Díaz; Harshit Laddha; Lalitha Sankar; Peter Kairouz; Gautam Dasarathy (CoRR, 2019)

Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints. - Jiachun Liao; Chong Huang; Peter Kairouz; Lalitha Sankar (CoRR, 2019)

Theoretical Guarantees for Model Auditing with Finite Adversaries. - Mario Díaz; Peter Kairouz; Jiachun Liao; Lalitha Sankar (CoRR, 2019)

Detection and Localization of Load Redistribution Attacks on Large Scale Systems. - Andrea Pinceti; Lalitha Sankar; Oliver Kosut (CoRR, 2019)

Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. - Jiachun Liao; Oliver Kosut; Lalitha Sankar; Flávio du Pin Calmon (IEEE Trans. Inf. Theory, 2019)

Maximal α-Leakage and its Properties. - Jiachun Liao; Lalitha Sankar; Oliver Kosut; Flávio P. Calmon (CNS, 2020)

A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2020)

On the α-loss Landscape in the Logistic Model. - Tyler Sypherd; Mario Díaz; Lalitha Sankar; Gautam Dasarathy (ISIT, 2020)

Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. - Zhigang Chu; Jiazi Zhang; Oliver Kosut; Lalitha Sankar (SmartGridComm, 2020)

Detecting Load Redistribution Attacks via Support Vector Models. - Zhigang Chu; Oliver Kosut; Lalitha Sankar (CoRR, 2020)

N-1 Reliability Makes It Difficult for False Data Injection Attacks to Cause Physical Consequences. - Zhigang Chu; Jiazi Zhang; Oliver Kosut; Lalitha Sankar (CoRR, 2020)

On the alpha-loss Landscape in the Logistic Model. - Tyler Sypherd; Mario Díaz; Lalitha Sankar; Gautam Dasarathy (CoRR, 2020)

On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. - Mario Díaz; Hao Wang 063; Flávio P. Calmon; Lalitha Sankar (IEEE Trans. Inf. Theory, 2020)

Neural Network-based Estimation of the MMSE. - Mario Díaz; Peter Kairouz; Jiachun Liao; Lalitha Sankar (ISIT, 2021)

Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. - Gowtham R. Kurri; Oliver Kosut; Lalitha Sankar (ISIT, 2021)

Realizing GANs via a Tunable Loss Function. - Gowtham R. Kurri; Tyler Sypherd; Lalitha Sankar (ITW, 2021)

A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid. - 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; et al. (CoRR, 2021)

Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks. - Andrea Pinceti; Lalitha Sankar; Oliver Kosut (CoRR, 2021)

Generation of Synthetic Multi-Resolution Time Series Load Data. - Andrea Pinceti; Lalitha Sankar; Oliver Kosut (CoRR, 2021)

Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation. - Mario Díaz; Peter Kairouz; Lalitha Sankar (CoRR, 2021)

Three Variants of Differential Privacy: Lossless Conversion and Applications. - Shahab Asoodeh; Jiachun Liao; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (IEEE J. Sel. Areas Inf. Theory, 2021)

An Overview of Information-Theoretic Security and Privacy: Metrics, Limits and Applications. - Matthieu R. Bloch; Onur Günlü; Aylin Yener; Frédérique E. Oggier; H. Vincent Poor; Lalitha Sankar; Rafael F. Schaefer (IEEE J. Sel. Areas Inf. Theory, 2021)

Editorial. - H. Vincent Poor; Matthieu R. Bloch; Onur Günlü; Frédérique E. Oggier; Lalitha Sankar; Rafael F. Schaefer; Aylin Yener (IEEE J. Sel. Areas Inf. Theory, 2021)

Being Properly Improper. - Tyler Sypherd; Richard Nock; Lalitha Sankar (ICML, 2022)

Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar; Fei Wei (ISIT, 2022)

A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. - Gowtham R. Kurri; Oliver Kosut; Lalitha Sankar (ISIT, 2022)

α-GAN: Convergence and Estimation Guarantees. - Gowtham R. Kurri; Monica Welfert; Tyler Sypherd; Lalitha Sankar (ISIT, 2022)

An Alphabet of Leakage Measures. - Atefeh Gilani; Gowtham R. Kurri; Oliver Kosut; Lalitha Sankar (ITW, 2022)

PMUVis : A Large-Scale Platform to Assist Power System Operators in a Smart Grid. - Anjana Arunkumar; Nitin Gupta; Andrea Pinceti; Lalitha Sankar; Chris Bryan (IEEE Computer Graphics and Applications, 2022)

A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data. - Nima T. Bazargani; Gautam Dasarathy; Lalitha Sankar; Oliver Kosut (CoRR, 2022)

AugLoss: A Learning Methodology for Real-World Dataset Corruption. - Kyle Otstot; John Kevin Cava; Tyler Sypherd; Lalitha Sankar (CoRR, 2022)

Parameter Estimation in Ill-conditioned Low-inertia Power Systems. - Anguluri Rajasekhar; Lalitha Sankar; Oliver Kosut (CoRR, 2022)

The Saddle-Point Accountant for Differential Privacy. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar; Fei Wei (CoRR, 2022)

Robust Model Selection of Non Tree-Structured Gaussian Graphical Models. - Abrar Zahin; Rajasekhar Anguluri; Oliver Kosut; Lalitha Sankar; Gautam Dasarathy (CoRR, 2022)

Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. - Anguluri Rajasekhar; Gautam Dasarathy; Oliver Kosut; Lalitha Sankar (IEEE Control. Syst. Lett., 2022)

Generating Fair Universal Representations Using Adversarial Models. - Peter Kairouz; Jiachun Liao; Chong Huang; Maunil Vyas; Monica Welfert; Lalitha Sankar (IEEE Trans. Inf. Forensics Secur., 2022)

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. - Tyler Sypherd; Mario Díaz; John Kevin Cava; Gautam Dasarathy; Peter Kairouz; Lalitha Sankar (IEEE Trans. Inf. Theory, 2022)

Smoothly Giving up: Robustness for Simple Models. - Tyler Sypherd; Nathaniel Stromberg 001; Richard Nock; Visar Berisha; Lalitha Sankar (AISTATS, 2023)

Source Localization in Linear Dynamical Systems using Subspace Model Identification. - Rajasekhar Anguluri; Nima Taghipourbazargani; Oliver Kosut; Lalitha Sankar (CCTA, 2023)

The Saddle-Point Method in Differential Privacy. - Wael Alghamdi; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ICML, 2023)

Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Juan Felipe Gómez; Oliver Kosut; Lalitha Sankar (ISIT, 2023)

(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. - Monica Welfert; Kyle Otstot; Gowtham R. Kurri; Lalitha Sankar (ISIT, 2023)

Parameter Optimization with Conscious Allocation (POCA). - Joshua Inman; Tanmay Khandait; Giulia Pedrielli; Lalitha Sankar (WSC, 2023)

Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. - Monica Welfert; Kyle Otstot; Gowtham R. Kurri; Lalitha Sankar (CoRR, 2023)

(α, β)-Leakage: A Unified Privacy Leakage Measure. - Atefeh Gilani; Gowtham R. Kurri; Oliver Kosut; Lalitha Sankar (CoRR, 2023)

A Semi-Supervised Approach for Power System Event Identification. - Nima Taghipourbazargani; Lalitha Sankar; Oliver Kosut (CoRR, 2023)

PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. - Anjana Arunkumar; Andrea Pinceti; Lalitha Sankar; Chris Bryan (IEEE Trans. Vis. Comput. Graph., 2023)

Localization and Estimation of Unknown Forced Inputs: A Group LASSO Approach. - Rajasekhar Anguluri; Oliver Kosut; Lalitha Sankar (IEEE Trans. Control. Netw. Syst., 2023)

Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes. - Daniil Vankov; Angelia Nedich; Lalitha Sankar (ICML, 2024)

Differential-Privacy Capacity. - Wael Alghamdi; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (ISIT, 2024)

Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. - Monica Welfert; Nathan Stromberg; Lalitha Sankar (ISIT, 2024)

Enhancing Robustness of Last Layer Two-Stage Fair Model Corrections. - Nathan Stromberg; Rohan Ayyagari; Sanmi Koyejo; Richard Nock; Lalitha Sankar (NeurIPS, 2024)

An Adversarial Approach to Evaluating the Robustness of Event Identification Models. - Obai Bahwal; Oliver Kosut; Lalitha Sankar (SmartGridComm, 2024)

Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. - Nathan Stromberg; Rohan Ayyagari; Monica Welfert; Sanmi Koyejo; Lalitha Sankar (CoRR, 2024)

Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations. - Joel Mathias; Rajasekhar Anguluri; Oliver Kosut; Lalitha Sankar (CoRR, 2024)

Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading. - Nathan Stromberg; Rohan Ayyagari; Sanmi Koyejo; Richard Nock; Lalitha Sankar (CoRR, 2024)

Identifying Edge Changes in Networks From Input and Output Covariance Data. - Rajasekhar Anguluri; Oliver Kosut; Lalitha Sankar (IEEE Control. Syst. Lett., 2024)

Addressing GAN Training Instabilities via Tunable Classification Losses. - Monica Welfert; Gowtham R. Kurri; Kyle Otstot; Lalitha Sankar (IEEE J. Sel. Areas Inf. Theory, 2024)

For Robust Worst-Group Accuracy, Ignore Group Annotations. - Nathan Stromberg; Rohan Ayyagari; Monica Welfert; Sanmi Koyejo; Richard Nock; Lalitha Sankar (Trans. Mach. Learn. Res., 2024)

An Operational Approach to Information Leakage via Generalized Gain Functions. - Gowtham R. Kurri; Lalitha Sankar; Oliver Kosut (IEEE Trans. Inf. Theory, 2024)

Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL). - Atefeh Gilani; Gowtham R. Kurri; Oliver Kosut; Lalitha Sankar (IEEE Trans. Inf. Theory, 2024)

Optimizing (L0, L1)-Smooth Functions by Gradient Methods. - Daniil Vankov; Anton Rodomanov; Angelia Nedich; Lalitha Sankar; Sebastian U. Stich (ICLR, 2025)

Robust Model Selection of Gaussian Graphical Models. - Abrar Zahin; Rajasekhar Anguluri; Lalitha Sankar; Oliver Kosut; Gautam Dasarathy (Trans. Mach. Learn. Res., 2025)

Reveal-or-Obscure: A Differentially Private Sampling Algorithm for Discrete Distributions. - Naima Tasnim; Atefeh Gilani; Lalitha Sankar; Oliver Kosut (CoRR, 2025)

Optimal Additive Noise Mechanisms for Differential Privacy. - Atefeh Gilani; Juan Felipe Gómez; Shahab Asoodeh; Flávio P. Calmon; Oliver Kosut; Lalitha Sankar (CoRR, 2025)

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features. - Monica Welfert; Nathan Stromberg; Mario Díaz; Lalitha Sankar (CoRR, 2025)

POCAII: Parameter Optimization with Conscious Allocation using Iterative Intelligence. - Joshua Inman; Tanmay Khandait; Lalitha Sankar; Giulia Pedrielli (CoRR, 2025)

GeoClip: Geometry-Aware Clipping for Differentially Private SGD. - Atefeh Gilani; Naima Tasnim; Lalitha Sankar; Oliver Kosut (CoRR, 2025)

CORAL: Disentangling Latent Representations in Long-Tailed Diffusion. - Esther Rodriguez; Monica Welfert; Samuel McDowell; Nathan Stromberg; Julian Antolin Camarena; Lalitha Sankar (CoRR, 2025)

Thumb on the Scale: Optimal Loss Weighting in Last Layer Retraining. - Nathan Stromberg; Christos Thrampoulidis; Lalitha Sankar (CoRR, 2025)