Publications

Conference Papers

1. Fractional Subadditivity of Submodular Functions: Equality Conditions and Their Applications (arXiv)

   • Authors: Gunank Jakhar, Gowtham R. Kurri, Suryajith Chillara, Vinod M. Prabhakaran

   • IEEE International Symposium on Information Theory (ISIT), 2025

2. Sun-Jaffar-Type Schemes for Weak Private Information Retrieval (arXiv)

   • Authors: Chandan Anand, Jayesh Seshadri, Prasad Krishnan, Gowtham R. Kurri

   • IEEE International Symposium on Information Theory (ISIT), 2025

3. Maximal Guesswork Leakage (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Malhar A. Managoli, Vinod M. Prabhakaran

   • IEEE International Symposium on Information Theory (ISIT), 2024

4. (alpha_D, alpha_G)-GANs: Addressing GAN Training Instabilities via Dual Objectives (IEEEXplore | arXiv)

   • Authors: Monica Welfert, Kyle Otstot, Gowtham R. Kurri, Lalitha Sankar 

   • IEEE International Symposium on Information Theory (ISIT), 2023

   • International Conference on Machine Learning (ICML) Workshop on New Frontiers in Adversarial Machine Learning, 2023 (link )

5. An Alphabet of Leakage Measures (IEEEXplore | arXiv)

   • Authors: Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

   • IEEE Information Theory Workshop (ITW), 2022. 

6. A Variational Formula for Infinity-Renyi Divergence with Applications to Information Leakage (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

   • IEEE International Symposium on Information Theory (ISIT), 2022

7. alpha-GAN: Convergence and Estimation Guarantees (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Monica Welfert, Tyler Sypherd, Lalitha Sankar 

   • IEEE International Symposium on Information Theory (ISIT), 2022

8. Realizing GANs via a Tunable Loss Function (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Tyler Sypherd, Lalitha Sankar

   • IEEE Information Theory Workshop (ITW), 2021

   • International Conference on Machine Learning (ICML) Workshop on Information-Theoretic Methods for Rigorous, Responsible, and Reliable Machine Learning, 2021 (link)

9. Evaluating Multiple Guesses by an Adversary via a Tunable Loss Function (IEEEXplore | arXiv)

   • Authors:  Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

   • IEEE International Symposium on Information Theory (ISIT), 2021 

10. Multiple Access Channel Simulation (IEEEXplore | arXiv)

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

    • IEEE International Symposium on Information Theory (ISIT), 2021

11. Optimal Communication rates and Combinatorial Properties for Common Randomness Generation (To appear. Extended version at arXiv)

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

    • IEEE International Symposium on Information Theory (ISIT), 2021

12. Secure Computation to Hide Functions of Inputs (IEEEXplore | arXiv)

    • Authors: Gowtham R. Kurri, Vinod M. Prabhakaran

    • IEEE International Symposium on Information Theory (ISIT), 2020

13. Coordination via Shared Randomness (IEEEXplore)

    • Authors: Gowtham R. Kurri, Vinod M. Prabhakaran

    • IEEE Information Theory Workshop (ITW), 2019

14. The Role of Interaction and Common Randomness in Two-User Secure Computation (IEEEXplore)

    • Authors: Gowtham R. Kurri, Jithin Ravi, Vinod M. Prabhakaran

    • IEEE International Symposium on Information Theory (ISIT), 2018

15. Coordination Using Individually shared Randomness (IEEEXplore | arXiv)

    • Authors: Gowtham R. Kurri, Vinod M. Prabhakaran, Anand Sarwate

    • IEEE International Symposium on Information Theory (ISIT), 2018

    • Selected for presentation in TPC choice session (6% of all the accepted papers were selected for this).

Journal Papers

1. Addressing GAN Training Instabilities via Tunable Classification Losses (IEEEXplore | arXiv)

   • Authors: Monica Welfert*, Gowtham R. Kurri*,  Kyle Otstot, Lalitha Sankar

   • *Equal contribution

   • IEEE Journal on Selected Areas in Information Theory, 2024 

2. Unifying Privacy Measures via Maximal (alpha, beta)-Leakage (IEEEXplore | arXiv)

   • Authors: Atefeh Gilani, Gowtham R. Kurri, Oliver Kosut, Lalitha Sankar

   • IEEE Transactions on Information Theory, 2024

3. An Operational Approach to Information Leakage via Generalized Gain Functions (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Lalitha Sankar, Oliver Kosut

   • IEEE Transactions on Information Theory, 2024

4. Multiple Access Channel Simulation (IEEEXplore | arXiv)

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

   • IEEE Transactions on Information Theory, 2022

5. Optimal Communication rates and Combinatorial Properties for Common Randomness Generation (IEEEXplore | arXiv)

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

   • IEEE Transactions on Information Theory, vol. 67, no. 12, pp. 7723-7739, Oct. 2021

6. Coordination Through Shared Randomness (IEEEXplore | arXiv)

   • Authors: Gowtham R. Kurri, Vinod M. Prabhakaran, Anand Sarwate

   • IEEE Transactions on Information Theory, vol. 67, no. 8,  pp. 4948-4974, Aug. 2021

7. Interactive Secure Function Computation (IEEEXplore | arXiv)

   • Authors: Deepesh Data*, Gowtham R. Kurri*, Jithin Ravi, Vinod M. Prabhakaran

   • *Equal contribution

   • IEEE Transactions on Information Theory, vol. 66, no. 9,  pp. 5492-5521, Sept. 2020