Gowtham R. Kurri

According to our database, Gowtham R. Kurri authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An Operational Approach to Information Leakage via Generalized Gain Functions.

Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut

IEEE Trans. Inf. Theory, February, 2024

2023

Addressing GAN Training Instabilities via Tunable Classification Losses.

Monica Welfert, Gowtham R. Kurri, Kyle Otstot, Lalitha Sankar

CoRR, 2023

(α, β)-Leakage: A Unified Privacy Leakage Measure.

Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

CoRR, 2023

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

Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar

CoRR, 2023

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

Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Multiple Access Channel Simulation.

Gowtham R. Kurri, Viswanathan Ramachandran, Sibi Raj B. Pillai, Vinod M. Prabhakaran

IEEE Trans. Inf. Theory, 2022

An Alphabet of Leakage Measures.

Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

Proceedings of the IEEE Information Theory Workshop, 2022

α-GAN: Convergence and Estimation Guarantees.

Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2022

A Variational Formula for Infinity-Rényi Divergence with Applications to Information Leakage.

Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

Coordination Through Shared Randomness.

Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate

IEEE Trans. Inf. Theory, 2021

Optimal Communication Rates and Combinatorial Properties for Common Randomness Generation.

Yanjun Han, Kedar Tatwawadi, Gowtham R. Kurri, Zhengqing Zhou, Vinod M. Prabhakaran, Tsachy Weissman

IEEE Trans. Inf. Theory, 2021

Realizing GANs via a Tunable Loss Function.

Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar

Proceedings of the IEEE Information Theory Workshop, 2021

Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function.

Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

Proceedings of the IEEE International Symposium on Information Theory, 2021

2020

Interactive Secure Function Computation.

Deepesh Data, Gowtham R. Kurri, Jithin Ravi, Vinod M. Prabhakaran

IEEE Trans. Inf. Theory, 2020

Secure Computation to Hide Functions of Inputs.

Gowtham R. Kurri, Vinod M. Prabhakaran

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Optimal Communication Rates for Zero-Error Distributed Simulation under Blackboard Communication Protocols.

Yanjun Han, Kedar Tatwawadi, Zhengqing Zhou, Gowtham R. Kurri, Vinod M. Prabhakaran, Tsachy Weissman

CoRR, 2019

Coordination via Shared Randomness.

Gowtham R. Kurri, Vinod M. Prabhakaran

Proceedings of the 2019 IEEE Information Theory Workshop, 2019

2018

Coordination Using Individually Shared Randomness.

Gowtham R. Kurri, Vinod M. Prabhakaran, Anand D. Sarwate

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

The Role of Interaction and Common Randomness in Two-User Secure Computation.

Gowtham R. Kurri, Vinod M. Prabhakaran, Jithin Ravi

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018