Sekar, Vyas

6 publications

NeurIPSW 2023 Gen-T: Reduce Distributed Tracing Operational Costs Using Generative Models Saar Tochner, Giulia Fanti, Vyas Sekar

NeurIPSW 2022 Distributional Privacy for Data Sharing Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti

AAAI 2022 RareGAN: Generating Samples for Rare Classes Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

AISTATS 2021 On the Privacy Properties of GAN-Generated Samples Zinan Lin, Vyas Sekar, Giulia Fanti

ICML 2021 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions Todd Huster, Jeremy Cohen, Zinan Lin, Kevin Chan, Charles Kamhoua, Nandi O. Leslie, Cho-Yu Jason Chiang, Vyas Sekar

NeurIPS 2021 Why Spectral Normalization Stabilizes GANs: Analysis and Improvements Zinan Lin, Vyas Sekar, Giulia Fanti