default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLalitha Sankar
Lalitha Sankaranarayanan
Person information
- affiliation: Arizona State University, Tempe, Arizona, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2024
[j36]Rajasekhar Anguluri
, Oliver Kosut, Lalitha Sankar:
Identifying Edge Changes in Networks From Input and Output Covariance Data. IEEE Control. Syst. Lett. 8: 364-369 (2024)- [j35]Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar:
Addressing GAN Training Instabilities via Tunable Classification Losses. IEEE J. Sel. Areas Inf. Theory 5: 534-553 (2024) - [j34]Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut:
An Operational Approach to Information Leakage via Generalized Gain Functions. IEEE Trans. Inf. Theory 70(2): 1349-1375 (2024) - [j33]Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL). IEEE Trans. Inf. Theory 70(6): 4368-4395 (2024) - 2023
- [j32]Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar:
Localization and Estimation of Unknown Forced Inputs: A Group LASSO Approach. IEEE Trans. Control. Netw. Syst. 10(4): 1997-2009 (2023) - [j31]Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, Chris Bryan:
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. IEEE Trans. Vis. Comput. Graph. 29(1): 1081-1090 (2023) - 2022
- [j30]Anjana Arunkumar, Nitin Gupta, Andrea Pinceti, Lalitha Sankar, Chris Bryan:
PMUVis : A Large-Scale Platform to Assist Power System Operators in a Smart Grid. IEEE Computer Graphics and Applications 42(6): 84-95 (2022) - [j29]Anguluri Rajasekhar, Gautam Dasarathy, Oliver Kosut, Lalitha Sankar:
Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. IEEE Control. Syst. Lett. 6: 1244-1249 (2022) - [j28]Peter Kairouz, Jiachun Liao, Chong Huang, Maunil Vyas, Monica Welfert, Lalitha Sankar:
Generating Fair Universal Representations Using Adversarial Models. IEEE Trans. Inf. Forensics Secur. 17: 1970-1985 (2022) - [j27]Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar:
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Trans. Inf. Theory 68(9): 6021-6051 (2022) - 2021
- [j26]H. Vincent Poor, Matthieu R. Bloch, Onur Günlü, Frédérique E. Oggier, Lalitha Sankar, Rafael F. Schaefer, Aylin Yener:
Editorial. IEEE J. Sel. Areas Inf. Theory 2(1): 3-4 (2021) - [j25]Matthieu R. Bloch, Onur Günlü, Aylin Yener, Frédérique E. Oggier, H. Vincent Poor, Lalitha Sankar, Rafael F. Schaefer:
An Overview of Information-Theoretic Security and Privacy: Metrics, Limits and Applications. IEEE J. Sel. Areas Inf. Theory 2(1): 5-22 (2021) - [j24]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. IEEE J. Sel. Areas Inf. Theory 2(1): 208-222 (2021) - 2020
- [j23]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. IEEE Trans. Inf. Theory 66(4): 1949-1978 (2020) - 2019
- [j22]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. IEEE Trans. Inf. Theory 65(12): 8043-8066 (2019) - 2018
- [j21]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing Under Mutual Information Privacy Constraints in the High Privacy Regime. IEEE Trans. Inf. Forensics Secur. 13(4): 1058-1071 (2018) - [j20]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion. IEEE Trans. Inf. Forensics Secur. 13(11): 2816-2830 (2018) - 2017
- [j19]Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal:
Context-Aware Generative Adversarial Privacy. Entropy 19(12): 656 (2017) - [j18]Bahman Moraffah, Lalitha Sankar:
Privacy-Guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. IEEE Trans. Inf. Forensics Secur. 12(9): 2168-2183 (2017) - [j17]Oliver Kosut, Lalitha Sankar:
Asymptotics and Non-Asymptotics for Universal Fixed-to-Variable Source Coding. IEEE Trans. Inf. Theory 63(6): 3757-3772 (2017) - 2016
- [j16]Jiazi Zhang, Lalitha Sankar:
Physical System Consequences of Unobservable State-and-Topology Cyber-Physical Attacks. IEEE Trans. Smart Grid 7(4): 2016-2025 (2016) - 2015
- [j15]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes for Privacy-Sensitive Users. J. Priv. Confidentiality 7(1) (2015) - [j14]Wade Trappe, Lalitha Sankar, Radha Poovendran, Heejo Lee, Srdjan Capkun:
Introduction to the Issue on Signal and Information Processing for Privacy. IEEE J. Sel. Top. Signal Process. 9(7): 1173-1175 (2015) - [j13]Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor:
Enabling Data Exchange in Two-Agent Interactive Systems Under Privacy Constraints. IEEE J. Sel. Top. Signal Process. 9(7): 1285-1297 (2015) - 2013
- [j12]Lalitha Sankar, Wade Trappe, H. Vincent Poor, Mérouane Debbah:
Signal Processing for Cybersecurity and Privacy [From the Guest Editors]. IEEE Signal Process. Mag. 30(5): 14-15 (2013) - [j11]Lalitha Sankar, Wade Trappe, Kannan Ramchandran, H. Vincent Poor, Mérouane Debbah:
The Role of Signal Processing in Meeting Privacy Challenges: An Overview. IEEE Signal Process. Mag. 30(5): 95-106 (2013) - [j10]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
Utility-Privacy Tradeoffs in Databases: An Information-Theoretic Approach. IEEE Trans. Inf. Forensics Secur. 8(6): 838-852 (2013) - [j9]Ravi Tandon, Lalitha Sankar, H. Vincent Poor:
Discriminatory Lossy Source Coding: Side Information Privacy. IEEE Trans. Inf. Theory 59(9): 5665-5677 (2013) - [j8]Lalitha Sankar, S. Raj Rajagopalan, Soheil Mohajer, H. Vincent Poor:
Smart Meter Privacy: A Theoretical Framework. IEEE Trans. Smart Grid 4(2): 837-846 (2013) - 2011
- [j7]Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam:
Dedicated-Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks. J. Commun. 6(4): 330-339 (2011) - [j6]Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, Harold Vincent Poor:
Fading Multiple Access Relay Channels: Achievable Rates and Opportunistic Scheduling. IEEE Trans. Inf. Theory 57(4): 1911-1931 (2011) - [j5]Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor:
Ergodic Fading Interference Channels: Sum-Capacity and Separability. IEEE Trans. Inf. Theory 57(5): 2605-2626 (2011) - 2009
- [j4]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Secrecy Capacity of a Class of Orthogonal Relay Eavesdropper Channels. EURASIP J. Wirel. Commun. Netw. 2009 (2009) - [j3]Lalitha Sankar, Narayan B. Mandayam, H. Vincent Poor:
On the sum-capacity of degraded Gaussian multiple-access relay channels. IEEE Trans. Inf. Theory 55(12): 5394-5411 (2009) - 2008
- [j2]Suhas Mathur, Lalitha Sankar, Narayan B. Mandayam:
Coalitions in Cooperative Wireless Networks. IEEE J. Sel. Areas Commun. 26(7): 1104-1115 (2008) - 2007
- [j1]Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam:
Offset Encoding for Multiple-Access Relay Channels. IEEE Trans. Inf. Theory 53(10): 3814-3821 (2007)
Conference and Workshop Papers
- 2024
- [c70]Daniil Vankov, Angelia Nedich, Lalitha Sankar:
Generalized Smooth Variational Inequalities: Methods with Adaptive Stepsizes. ICML 2024 - [c69]Monica Welfert, Nathan Stromberg, Lalitha Sankar:
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. ISIT 2024: 581-586 - [c68]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Differential-Privacy Capacity. ISIT 2024: 3053-3058 - [c67]Obai Bahwal, Oliver Kosut, Lalitha Sankar:
An Adversarial Approach to Evaluating the Robustness of Event Identification Models. SmartGridComm 2024: 327-332 - 2023
- [c66]Tyler Sypherd, Nathaniel Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. AISTATS 2023: 5376-5410 - [c65]Rajasekhar Anguluri, Nima Taghipourbazargani, Oliver Kosut, Lalitha Sankar:
Source Localization in Linear Dynamical Systems using Subspace Model Identification. CCTA 2023: 1016-1021 - [c64]Wael Alghamdi, Juan Felipe Gómez, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
The Saddle-Point Method in Differential Privacy. ICML 2023: 508-528 - [c63]Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar:
(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. ISIT 2023: 915-920 - [c62]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Optimal Multidimensional Differentially Private Mechanisms in the Large-Composition Regime. ISIT 2023: 2195-2200 - [c61]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar:
Schrödinger Mechanisms: Optimal Differential Privacy Mechanisms for Small Sensitivity. ISIT 2023: 2201-2206 - [c60]Joshua Inman, Tanmay Khandait, Giulia Pedrielli, Lalitha Sankar:
Parameter Optimization with Conscious Allocation (POCA). WSC 2023: 3436-3447 - 2022
- [c59]Tyler Sypherd, Richard Nock, Lalitha Sankar:
Being Properly Improper. ICML 2022: 20891-20932 - [c58]Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar:
α-GAN: Convergence and Estimation Guarantees. ISIT 2022: 276-281 - [c57]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. ISIT 2022: 1838-1843 - [c56]Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. ISIT 2022: 2493-2498 - [c55]Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
An Alphabet of Leakage Measures. ITW 2022: 458-463 - 2021
- [c54]Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar:
Neural Network-based Estimation of the MMSE. ISIT 2021: 1023-1028 - [c53]Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. ISIT 2021: 2002-2007 - [c52]Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar:
Realizing GANs via a Tunable Loss Function. ITW 2021: 1-6 - 2020
- [c51]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Maximal α-Leakage and its Properties. CNS 2020: 1-6 - [c50]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via f-Divergences. ISIT 2020: 920-925 - [c49]Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy:
On the α-loss Landscape in the Logistic Model. ISIT 2020: 2700-2705 - [c48]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. SmartGridComm 2020: 1-6 - 2019
- [c47]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. ISIT 2019: 642-646 - [c46]Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz:
A Tunable Loss Function for Binary Classification. ISIT 2019: 2479-2483 - [c45]Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar:
Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? SmartGridComm 2019: 1-6 - 2018
- [c44]Chong Huang, Peter Kairouz, Lalitha Sankar:
Generative Adversarial Privacy: A Data-Driven Approach to Information-Theoretic Privacy. ACSSC 2018: 2162-2166 - [c43]Chong Huang, Lalitha Sankar:
Impact of Privacy on Free Online Service Markets. GameSec 2018: 1-21 - [c42]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. ISIT 2018: 701-705 - [c41]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. ISIT 2018: 706-710 - [c40]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. ITW 2018: 1-5 - [c39]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. SmartGridComm 2018: 1-6 - 2017
- [c38]Jiachun Liao, Lalitha Sankar, Flávio P. Calmon, Vincent Y. F. Tan:
Hypothesis testing under maximal leakage privacy constraints. ISIT 2017: 779-783 - [c37]Kousha Kalantari, Lalitha Sankar, Oliver Kosut:
On information-theoretic privacy with general distortion cost functions. ISIT 2017: 2865-2869 - [c36]Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut:
False data injection attacks on phasor measurements that bypass low-rank decomposition. SmartGridComm 2017: 96-101 - 2016
- [c35]Kousha Kalantari, Oliver Kosut, Lalitha Sankar:
On the fine asymptotics of information theoretic privacy. Allerton 2016: 532-539 - [c34]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis testing in the high privacy limit. Allerton 2016: 649-656 - [c33]Chong Huang, Lalitha Sankar:
Incentive mechanisms for privacy-sensitive electricity consumers with alternative energy sources. CISS 2016: 175-180 - [c32]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
Optimal differential privacy mechanisms under Hamming distortion for structured source classes. ISIT 2016: 2069-2073 - [c31]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Evaluating power system vulnerability to false data injection attacks via scalable optimization. SmartGridComm 2016: 260-265 - 2015
- [c30]Jiale Hu, Lalitha Sankar, Darakhshan J. Mir:
Cluster-and-Connect: An algorithmic approach to generating synthetic electric power network graphs. Allerton 2015: 223-230 - [c29]Bahman Moraffah, Lalitha Sankar:
Information-theoretic private interactive mechanism. Allerton 2015: 911-918 - [c28]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Incentive Schemes for Privacy-Sensitive Consumers. GameSec 2015: 358-369 - [c27]Jiale Hu, Lalitha Sankar, Darakhshan J. Mir:
Cluster-and-connect: A more realistic model for the electric power network topology. SmartGridComm 2015: 85-90 - 2014
- [c26]Anand D. Sarwate, Lalitha Sankar:
A rate-disortion perspective on local differential privacy. Allerton 2014: 903-908 - [c25]Oliver Kosut, Lalitha Sankar:
New results on third-order coding rate for universal fixed-to-variable source coding. ISIT 2014: 2689-2693 - 2013
- [c24]Lalitha Sankar:
Competitive privacy: Distributed computation with privacy guarantees. GlobalSIP 2013: 325-328 - [c23]Oliver Kosut, Lalitha Sankar:
Universal fixed-to-variable source coding in the finite blocklength regime. ISIT 2013: 649-653 - 2012
- [c22]Lalitha Sankar:
Session TA4b: Signal processing for cyber-security and privacy in networks (invited). ACSCC 2012: 973-974 - [c21]Lalitha Sankar, Soummya Kar, H. Vincent Poor:
Competitive privacy in the smart grid. ACSCC 2012: 1554-1558 - [c20]Emma Glennon, Lalitha Sankar, H. Vincent Poor:
Twitter vs. printed English: An information-theoretic comparison. ICASSP 2012: 3069-3072 - [c19]Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor, Mérouane Debbah:
Pricing mechanisms for cooperative state estimation. ISCCSP 2012: 1-4 - [c18]Lalitha Sankar, H. Vincent Poor:
Distributed estimation in multi-agent networks. ISIT 2012: 329-333 - [c17]Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor:
Repeated games for privacy-aware distributed state estimation in interconnected networks. NetGCooP 2012: 64-68 - 2011
- [c16]Ravi Tandon, Lalitha Sankar, H. Vincent Poor:
Discriminatory Lossy Source Coding: Side Information Privacy. GLOBECOM 2011: 1-5 - [c15]Ravi Tandon, Lalitha Sankar, H. Vincent Poor:
Multi-user privacy: The Gray-Wyner system and generalized common information. ISIT 2011: 563-567 - [c14]S. Raj Rajagopalan, Lalitha Sankar, Soheil Mohajer, H. Vincent Poor:
Smart meter privacy: A utility-privacy framework. SmartGridComm 2011: 190-195 - [c13]Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor:
Competitive privacy in the smart grid: An information-theoretic approach. SmartGridComm 2011: 220-225 - 2010
- [c12]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
An information-theoretic approach to privacy. Allerton 2010: 1220-1227 - [c11]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
A theory of utility and privacy of data sources. ISIT 2010: 2642-2646 - [c10]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
Utility and privacy of data sources: Can Shannon help conceal and reveal information? ITA 2010: 401-407 - 2009
- [c9]Lalitha Sankar, Jan Vondrák, H. Vincent Poor:
K-user fading interference channels: The ergodic very strong case. Allerton 2009: 82-87 - [c8]H. Vincent Poor, Lalitha Sankar, Vaneet Aggarwal, A. Robert Calderbank:
Information secrecy from multiple eavesdroppers in orthogonal relay channels. ISIT 2009: 2607-2611 - 2008
- [c7]Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor:
Ergodic two-user interference channels: Is separability optimal? Allerton 2008: 723-729 - [c6]Lalitha Sankar, Elza Erkip, H. Vincent Poor:
Sum-capacity of ergodic fading interference and compound multiaccess channels. ISIT 2008: 2712-2716 - 2007
- [c5]Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam:
Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. ISIT 2007: 1261-1265 - 2006
- [c4]Suhas Mathur, Lalitha Sankaranarayanan, Narayan B. Mandayam:
Coalitional Games in Receiver Cooperation for Spectrum Sharing. CISS 2006: 949-954 - [c3]Suhas Mathur, Lalitha Sankaranarayanan, Narayan B. Mandayam:
Coalitional Games in Gaussian Interference Channels. ISIT 2006: 2210-2214 - 2005
- [c2]Lalitha Sankaranarayanan, Gerhard Kramer, Narayan B. Mandayam:
Cooperation vs. hierarchy: an information-theoretic comparison. ISIT 2005: 411-415 - 2004
- [c1]Lalitha Sankaranarayanan, Gerhard Kramer, Narayan B. Mandayam:
Hierarchical sensor networks: capacity bounds and cooperative strategies using the multiple-access relay channel model. SECON 2004: 191-199
Informal and Other Publications
- 2024
- [i87]Nathan Stromberg, Rohan Ayyagari, Monica Welfert, Sanmi Koyejo, Lalitha Sankar:
Robustness to Subpopulation Shift with Domain Label Noise via Regularized Annotation of Domains. CoRR abs/2402.11039 (2024) - [i86]Obai Bahwal, Oliver Kosut, Lalitha Sankar:
An Adversarial Approach to Evaluating the Robustness of Event Identification Models. CoRR abs/2402.12338 (2024) - [i85]Joel Mathias, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar:
Model Predictive Control for Joint Ramping and Regulation-Type Service from Distributed Energy Resource Aggregations. CoRR abs/2405.02813 (2024) - [i84]Monica Welfert, Nathan Stromberg, Lalitha Sankar:
Theoretical Guarantees of Data Augmented Last Layer Retraining Methods. CoRR abs/2405.05934 (2024) - [i83]Nathan Stromberg, Rohan Ayyagari, Sanmi Koyejo, Richard Nock, Lalitha Sankar:
Label Noise Robustness for Domain-Agnostic Fair Corrections via Nearest Neighbors Label Spreading. CoRR abs/2406.09561 (2024) - 2023
- [i82]Tyler Sypherd, Nathan Stromberg, Richard Nock, Visar Berisha, Lalitha Sankar:
Smoothly Giving up: Robustness for Simple Models. CoRR abs/2302.09114 (2023) - [i81]Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar:
Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. CoRR abs/2302.14320 (2023) - [i80]Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
(α, β)-Leakage: A Unified Privacy Leakage Measure. CoRR abs/2304.07456 (2023) - [i79]Nima Taghipourbazargani, Lalitha Sankar, Oliver Kosut:
A Semi-Supervised Approach for Power System Event Identification. CoRR abs/2309.10095 (2023) - [i78]Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar:
Addressing GAN Training Instabilities via Tunable Classification Losses. CoRR abs/2310.18291 (2023) - [i77]Joshua Inman, Tanmay Khandait, Giulia Pedrielli, Lalitha Sankar:
Parameter Optimization with Conscious Allocation (POCA). CoRR abs/2312.17404 (2023) - 2022
- [i76]Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. CoRR abs/2202.06040 (2022) - [i75]Nima T. Bazargani, Gautam Dasarathy, Lalitha Sankar, Oliver Kosut:
A Machine Learning Framework for Event Identification via Modal Analysis of PMU Data. CoRR abs/2202.06836 (2022) - [i74]Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar:
α-GAN: Convergence and Estimation Guarantees. CoRR abs/2205.06393 (2022) - [i73]Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar:
AugLoss: A Learning Methodology for Real-World Dataset Corruption. CoRR abs/2206.02286 (2022) - [i72]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar, Fei Wei:
Cactus Mechanisms: Optimal Differential Privacy Mechanisms in the Large-Composition Regime. CoRR abs/2207.00420 (2022) - [i71]Anguluri Rajasekhar, Lalitha Sankar, Oliver Kosut:
Parameter Estimation in Ill-conditioned Low-inertia Power Systems. CoRR abs/2208.04471 (2022) - [i70]Wael Alghamdi, Shahab Asoodeh, Flávio P. Calmon, Juan Felipe Gómez, Oliver Kosut, Lalitha Sankar, Fei Wei:
The Saddle-Point Accountant for Differential Privacy. CoRR abs/2208.09595 (2022) - [i69]Anjana Arunkumar, Andrea Pinceti, Lalitha Sankar, Chris Bryan:
PMU Tracker: A Visualization Platform for Epicentric Event Propagation Analysis in the Power Grid. CoRR abs/2209.03514 (2022) - [i68]Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut:
An Operational Approach to Information Leakage via Generalized Gain Functions. CoRR abs/2209.13862 (2022) - [i67]Abrar Zahin, Rajasekhar Anguluri, Oliver Kosut, Lalitha Sankar, Gautam Dasarathy:
Robust Model Selection of Non Tree-Structured Gaussian Graphical Models. CoRR abs/2211.05690 (2022) - [i66]Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
An Alphabet of Leakage Measures. CoRR abs/2211.15453 (2022) - 2021
- [i65]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:
A Verifiable Framework for Cyber-Physical Attacks and Countermeasures in a Resilient Electric Power Grid. CoRR abs/2104.13908 (2021) - [i64]Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar:
Realizing GANs via a Tunable Loss Function. CoRR abs/2106.05232 (2021) - [i63]Richard Nock, Tyler Sypherd, Lalitha Sankar:
Being Properly Improper. CoRR abs/2106.09920 (2021) - [i62]Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Synthetic Time-Series Load Data via Conditional Generative Adversarial Networks. CoRR abs/2107.03545 (2021) - [i61]Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Generation of Synthetic Multi-Resolution Time Series Load Data. CoRR abs/2107.03547 (2021) - [i60]Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar:
Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. CoRR abs/2108.08774 (2021) - [i59]Mario Díaz, Peter Kairouz, Lalitha Sankar:
Lower Bounds for the Minimum Mean-Square Error via Neural Network-based Estimation. CoRR abs/2108.12851 (2021) - 2020
- [i58]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
A Better Bound Gives a Hundred Rounds: Enhanced Privacy Guarantees via $f$-Divergences. CoRR abs/2001.05990 (2020) - [i57]Zhigang Chu, Oliver Kosut, Lalitha Sankar:
Detecting Load Redistribution Attacks via Support Vector Models. CoRR abs/2003.06543 (2020) - [i56]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
N-1 Reliability Makes It Difficult for False Data Injection Attacks to Cause Physical Consequences. CoRR abs/2003.07699 (2020) - [i55]Tyler Sypherd, Mario Díaz, Lalitha Sankar, Gautam Dasarathy:
On the alpha-loss Landscape in the Logistic Model. CoRR abs/2006.12406 (2020) - [i54]Shahab Asoodeh, Jiachun Liao, Flávio P. Calmon, Oliver Kosut, Lalitha Sankar:
Three Variants of Differential Privacy: Lossless Conversion and Applications. CoRR abs/2008.06529 (2020) - 2019
- [i53]Jiachun Liao, Lalitha Sankar, Oliver Kosut, Flávio P. Calmon:
Robustness of Maximal α-Leakage to Side Information. CoRR abs/1901.07105 (2019) - [i52]Tyler Sypherd, Mario Díaz, Lalitha Sankar, Peter Kairouz:
A Tunable Loss Function for Binary Classification. CoRR abs/1902.04639 (2019) - [i51]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Vulnerability Assessment of N-1 Reliable Power Systems to False Data Injection Attacks. CoRR abs/1903.07781 (2019) - [i50]Zhigang Chu, Andrea Pinceti, Reetam Sen Biswas, Oliver Kosut, Anamitra Pal, Lalitha Sankar:
Can Predictive Filters Detect Gradually Ramping False Data Injection Attacks Against PMUs? CoRR abs/1905.02271 (2019) - [i49]Tyler Sypherd, Mario Díaz, Harshit Laddha, Lalitha Sankar, Peter Kairouz, Gautam Dasarathy:
A Tunable Loss Function for Classification. CoRR abs/1906.02314 (2019) - [i48]Jiachun Liao, Chong Huang, Peter Kairouz, Lalitha Sankar:
Learning Generative Adversarial RePresentations (GAP) under Fairness and Censoring Constraints. CoRR abs/1910.00411 (2019) - [i47]Mario Díaz, Peter Kairouz, Jiachun Liao, Lalitha Sankar:
Theoretical Guarantees for Model Auditing with Finite Adversaries. CoRR abs/1911.03405 (2019) - [i46]Andrea Pinceti, Lalitha Sankar, Oliver Kosut:
Detection and Localization of Load Redistribution Attacks on Large Scale Systems. CoRR abs/1912.09453 (2019) - 2018
- [i45]Hao Wang, Mario Díaz, Flávio P. Calmon, Lalitha Sankar:
The Utility Cost of Robust Privacy Guarantees. CoRR abs/1801.05926 (2018) - [i44]Mario Díaz, Lalitha Sankar, Peter Kairouz:
On the Contractivity of Privacy Mechanisms. CoRR abs/1801.06255 (2018) - [i43]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
Privacy Under Hard Distortion Constraints. CoRR abs/1806.00063 (2018) - [i42]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio P. Calmon:
A Tunable Measure for Information Leakage. CoRR abs/1806.03332 (2018) - [i41]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Unobservable False Data Injection Attacks against PMUs: Feasible Conditions and Multiplicative Attacks. CoRR abs/1806.05057 (2018) - [i40]Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal:
Generative Adversarial Privacy. CoRR abs/1807.05306 (2018) - [i39]Jiachun Liao, Oliver Kosut, Lalitha Sankar, Flávio du Pin Calmon:
Tunable Measures for Information Leakage and Applications to Privacy-Utility Tradeoffs. CoRR abs/1809.09231 (2018) - [i38]Mario Díaz, Hao Wang, Flávio P. Calmon, Lalitha Sankar:
On the Robustness of Information-Theoretic Privacy Measures and Mechanisms. CoRR abs/1811.06057 (2018) - 2017
- [i37]Jiachun Liao, Lalitha Sankar, Flávio du Pin Calmon, Vincent Yan Fu Tan:
Hypothesis Testing under Maximal Leakage Privacy Constraints. CoRR abs/1701.07099 (2017) - [i36]Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut:
Can Attackers with Limited Information Exploit Historical Data to Mount Successful False Data Injection Attacks on Power Systems? CoRR abs/1703.07500 (2017) - [i35]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio du Pin Calmon:
Hypothesis Testing under Mutual Information Privacy Constraints in the High Privacy Regime. CoRR abs/1704.08347 (2017) - [i34]Jiazi Zhang, Zhigang Chu, Lalitha Sankar, Oliver Kosut:
False Data Injection Attacks on Phasor Measurements That Bypass Low-rank Decomposition. CoRR abs/1705.02038 (2017) - [i33]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Vulnerability Assessment of Large-scale Power Systems to False Data Injection Attacks. CoRR abs/1705.04218 (2017) - [i32]Kousha Kalantari, Oliver Kosut, Lalitha Sankar:
Information-Theoretic Privacy with General Distortion Constraints. CoRR abs/1708.05468 (2017) - [i31]Chong Huang, Peter Kairouz, Xiao Chen, Lalitha Sankar, Ram Rajagopal:
Context-Aware Generative Adversarial Privacy. CoRR abs/1710.09549 (2017) - 2016
- [i30]Kousha Kalantari, Lalitha Sankar, Anand D. Sarwate:
The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes. CoRR abs/1601.06426 (2016) - [i29]Zhigang Chu, Jiazi Zhang, Oliver Kosut, Lalitha Sankar:
Evaluating Power System Vulnerability to False Data Injection Attacks via Scalable Optimization. CoRR abs/1605.06557 (2016) - [i28]Jiachun Liao, Lalitha Sankar, Vincent Y. F. Tan, Flávio P. Calmon:
Hypothesis Testing in the High Privacy Limit. CoRR abs/1607.00533 (2016) - [i27]Bahman Moraffah, Lalitha Sankar:
Privacy-guaranteed Two-Agent Interactions Using Information-Theoretic Mechanisms. CoRR abs/1610.00663 (2016) - [i26]Chong Huang, Lalitha Sankar:
Market Segmentation for Privacy Differentiated "Free" Services. CoRR abs/1611.05380 (2016) - 2015
- [i25]Jingwen Liang, Lalitha Sankar, Oliver Kosut:
Vulnerability Analysis and Consequences of False Data Injection Attack on Power System State Estimation. CoRR abs/1506.03774 (2015) - [i24]Chong Huang, Lalitha Sankar, Anand D. Sarwate:
Designing Incentive Schemes For Privacy-Sensitive Users. CoRR abs/1508.01818 (2015) - [i23]Jiazi Zhang, Lalitha Sankar:
Implication of Unobservable State-and-topology Cyber-physical Attacks. CoRR abs/1509.00520 (2015) - 2014
- [i22]Elena Veronica Belmega, Lalitha Sankar, H. Vincent Poor:
Enabling Data Exchange in Interactive State Estimation under Privacy Constraints. CoRR abs/1411.2498 (2014) - [i21]Oliver Kosut, Lalitha Sankar:
Asymptotics and Non-asymptotics for Universal Fixed-to-Variable Source Coding. CoRR abs/1412.4444 (2014) - 2012
- [i20]Lalitha Sankar, H. Vincent Poor:
Distributed Estimation in Multi-Agent Networks. CoRR abs/1207.2092 (2012) - 2011
- [i19]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
A Theory of Privacy and Utility in Databases. CoRR abs/1102.3751 (2011) - [i18]Ravi Tandon, Lalitha Sankar, H. Vincent Poor:
Multi-User Privacy: The Gray-Wyner System and Generalized Common Information. CoRR abs/1106.2050 (2011) - [i17]Ravi Tandon, Lalitha Sankar, H. Vincent Poor:
Discriminatory Lossy Source Coding: Side Information Privacy. CoRR abs/1106.2057 (2011) - [i16]S. Raj Rajagopalan, Lalitha Sankar, Soheil Mohajer, H. Vincent Poor:
Smart Meter Privacy: A Utility-Privacy Framework. CoRR abs/1108.2234 (2011) - [i15]Lalitha Sankar, Soummya Kar, Ravi Tandon, H. Vincent Poor:
Competitive Privacy in the Smart Grid: An Information-theoretic Approach. CoRR abs/1108.2237 (2011) - 2010
- [i14]Lalitha Sankar, Elza Erkip, H. Vincent Poor:
A General Coding Scheme for Two-User Fading Interference Channels. CoRR abs/1001.2786 (2010) - [i13]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
Utility and Privacy of Data Sources: Can Shannon Help Conceal and Reveal Information? CoRR abs/1002.1347 (2010) - [i12]Lalitha Sankar, S. Raj Rajagopalan, H. Vincent Poor:
An Information-theoretic Approach to Privacy. CoRR abs/1010.0226 (2010) - 2009
- [i11]Lalitha Sankar, Yingbin Liang, Narayan B. Mandayam, H. Vincent Poor:
Opportunistic Communications in Fading Multiaccess Relay Channels. CoRR abs/0902.1220 (2009) - [i10]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Ergodic Layered Erasure One-Sided Interference Channels. CoRR abs/0904.1956 (2009) - [i9]Lalitha Sankar, Xiaohu Shang, Elza Erkip, H. Vincent Poor:
Ergodic Fading Interference Channels: Sum-Capacity and Separability. CoRR abs/0906.0744 (2009) - [i8]Lalitha Sankar, Jan Vondrák, H. Vincent Poor:
K-User Fading Interference Channels: The Ergodic Very Strong Case. CoRR abs/0910.4874 (2009) - [i7]Andrew Chong, Lalitha Sankar, H. Vincent Poor:
Frequency of Occurrence and Information Entropy of American Sign Language. CoRR abs/0912.1768 (2009) - 2008
- [i6]Lalitha Sankar, Narayan B. Mandayam, H. Vincent Poor:
On the Sum-Capacity of Degraded Gaussian Multiaccess Relay Channels. CoRR abs/0804.0385 (2008) - [i5]Suhas Mathur, Lalitha Sankar, Narayan B. Mandayam:
Coalitions in Cooperative Wireless Networks. CoRR abs/0804.3421 (2008) - [i4]Lalitha Sankar, Elza Erkip, H. Vincent Poor:
Sum-Capacity of Ergodic Fading Interference and Compound Multiaccess Channels. CoRR abs/0804.4866 (2008) - [i3]Lalitha Sankar, Gerhard Kramer, Narayan B. Mandayam:
Relay vs. User Cooperation in Time-Duplexed Multiaccess Networks. CoRR abs/0809.2226 (2008) - [i2]Vaneet Aggarwal, Lalitha Sankar, A. Robert Calderbank, H. Vincent Poor:
Secrecy capacity of a class of orthogonal relay eavesdropper channels. CoRR abs/0812.2275 (2008) - 2007
- [i1]Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam:
Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. CoRR abs/0704.2651 (2007)
Coauthor Index
Flávio P. Calmon
aka: Flávio du Pin Calmon
aka: Flávio du Pin Calmon
[j36] [j34] [j33] [j32] [j29] [j24] [j22] [j17] [c68] [c67] [c65] [c64] [c62] [c61] [c57] [c56] [c55] [c53] [c51] [c50] [c48] [c47] [c45] [c42] [c40] [c39] [c37] [c36] [c35] [c31] [c25] [c23] [i86] [i85] [i80] [i79] [i76] [i75] [i72] [i71] [i70] [i68] [i67] [i66] [i65] [i62] [i61] [i60] [i58] [i57] [i56] [i54] [i53] [i51] [i50] [i46] [i43] [i42] [i41] [i39] [i36] [i34] [i33] [i32] [i29] [i25] [i21]
H. Vincent Poor
aka: Harold Vincent Poor
aka: Harold Vincent Poor
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-21 21:21 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
