Gowtham R. Kurri

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 35

Top Topics

Classification Performances

Tunable Parameters

Information Leakage

Top Venues

IEEE Trans. Inf. Theory

Publications

Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
Addressing GAN Training Instabilities via Tunable Classification Losses. IEEE J. Sel. Areas Inf. Theory 5 (2024)
Gowtham R. Kurri, Malhar Managoli, Vinod M. Prabhakaran
Maximal Guesswork Leakage. CoRR (2024)
Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut
An Operational Approach to Information Leakage via Generalized Gain Functions. IEEE Trans. Inf. Theory 70 (2) (2024)
Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
Unifying Privacy Measures via Maximal (α, β)-Leakage (MαbeL). IEEE Trans. Inf. Theory 70 (6) (2024)
Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
(α, β)-Leakage: A Unified Privacy Leakage Measure. CoRR (2023)
Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
Towards Addressing GAN Training Instabilities: Dual-objective GANs with Tunable Parameters. CoRR (2023)
Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar
(αD, αG)-GANs: Addressing GAN Training Instabilities via Dual Objectives. ISIT (2023)
Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar
Addressing GAN Training Instabilities via Tunable Classification Losses. CoRR (2023)
Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut
An Operational Approach to Information Leakage via Generalized Gain Functions. CoRR (2022)
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
α-GAN: Convergence and Estimation Guarantees. CoRR (2022)
Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
An Alphabet of Leakage Measures. CoRR (2022)
Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. CoRR (2022)
Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
An Alphabet of Leakage Measures. ITW (2022)
Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage. ISIT (2022)
Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran
Multiple Access Channel Simulation. IEEE Trans. Inf. Theory 68 (11) (2022)
Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar
α-GAN: Convergence and Estimation Guarantees. ISIT (2022)
Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran
Multiple Access Channel Simulation. ISIT (2021)
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
Realizing GANs via a Tunable Loss Function. CoRR (2021)
Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. ISIT (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. IEEE Trans. Inf. Theory 67 (12) (2021)
Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar
Realizing GANs via a Tunable Loss Function. ITW (2021)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Through Shared Randomness. IEEE Trans. Inf. Theory 67 (8) (2021)
Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar
Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function. CoRR (2021)
Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation. ISIT (2021)
Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran
Multiple Access Channel Simulation. CoRR (2021)
Deepesh Data, Gowtham R. Kurri, Jithin Ravi, Vinod M. Prabhakaran
Interactive Secure Function Computation. IEEE Trans. Inf. Theory 66 (9) (2020)
Gowtham R. Kurri, Vinod M. Prabhakaran
Secure Computation to Hide Functions of Inputs. CoRR (2020)
Gowtham R. Kurri, Vinod M. Prabhakaran
Secure Computation to Hide Functions of Inputs. ISIT (2020)
Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman
Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols. CoRR (2019)
Gowtham R. Kurri, Vinod M. Prabhakaran
Coordination via Shared Randomness. ITW (2019)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Through Shared Randomness. CoRR (2019)
Deepesh Data, Gowtham R. Kurri, Jithin Ravi, Vinod M. Prabhakaran
Interactive Secure Function Computation. CoRR (2018)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Using Individually Shared Randomness. CoRR (2018)
Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate
Coordination Using Individually Shared Randomness. ISIT (2018)
Gowtham R. Kurri, Vinod M. Prabhakaran, Jithin Ravi
The Role of Interaction and Common Randomness in Two-User Secure Computation. ISIT (2018)