The Role of Interaction and Common Randomness in Two-User Secure Computation. - Gowtham R. Kurri; Vinod M. Prabhakaran; Jithin Ravi (ISIT, 2018)

Coordination Using Individually Shared Randomness. - Gowtham R. Kurri; Vinod M. Prabhakaran; Anand D. Sarwate (ISIT, 2018)

Coordination via Shared Randomness. - Gowtham R. Kurri; Vinod M. Prabhakaran (ITW, 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)

Secure Computation to Hide Functions of Inputs. - Gowtham R. Kurri; Vinod M. Prabhakaran (ISIT, 2020)

Interactive Secure Function Computation. - Deepesh Data; Gowtham R. Kurri; Jithin Ravi; Vinod M. Prabhakaran (IEEE Trans. Inf. Theory, 2020)

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)

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)

Coordination Through Shared Randomness. - Gowtham R. Kurri; Vinod M. Prabhakaran; Anand D. Sarwate (IEEE Trans. Inf. Theory, 2021)

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)

Multiple Access Channel Simulation. - Gowtham R. Kurri; Viswanathan Ramachandran 001; Sibi Raj B. Pillai; Vinod M. Prabhakaran (IEEE Trans. Inf. Theory, 2022)

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

Maximal Guesswork Leakage. - Gowtham R. Kurri; Malhar A. Managoli; Vinod M. Prabhakaran (ISIT, 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)

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)

Sun-Jafar-Type Schemes for Weak Private Information Retrieval. - Chandan Anand; Jayesh Seshadri; Prasad Krishnan; Gowtham R. Kurri (CoRR, 2025)

Fractional Subadditivity of Submodular Functions: Equality Conditions and Their Applications. - Gunank Jakhar; Gowtham R. Kurri; Suryajith Chillara; Vinod M. Prabhakaran (CoRR, 2025)

Generalized Dual Discriminator GANs. - Penukonda Naga Chandana; Tejas Srivastava; Gowtham R. Kurri; V. Lalitha (CoRR, 2025)