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Vyas Sekar
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Publications
- 2023
- [i30]Zinan Lin, Shuaiqi Wang, Vyas Sekar, Giulia Fanti:
Summary Statistic Privacy in Data Sharing. CoRR abs/2303.02014 (2023) - 2022
- [c136]Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar:
RareGAN: Generating Samples for Rare Classes. AAAI 2022: 7506-7515 - [c130]Yucheng Yin, Zinan Lin, Minhao Jin, Giulia Fanti, Vyas Sekar:
Practical GAN-based synthetic IP header trace generation using NetShare. SIGCOMM 2022: 458-472 - [i29]Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar:
RareGAN: Generating Samples for Rare Classes. CoRR abs/2203.10674 (2022) - [i28]Zinan Lin, Vyas Sekar, Giulia Fanti:
On the Privacy Properties of GAN-generated Samples. CoRR abs/2206.01349 (2022) - 2021
- [c127]Zinan Lin, Vyas Sekar, Giulia Fanti:
On the Privacy Properties of GAN-generated Samples. AISTATS 2021: 1522-1530 - [c121]Zinan Lin, Vyas Sekar, Giulia Fanti:
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements. NeurIPS 2021: 9625-9638 - 2020
- [c111]Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar:
Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions. Internet Measurement Conference 2020: 464-483 - [i20]Zinan Lin, Vyas Sekar, Giulia Fanti:
Why Spectral Normalization Stabilizes GANs: Analysis and Improvements. CoRR abs/2009.02773 (2020) - 2019
- [c98]Zinan Lin, Soo-Jin Moon, Carolina M. Zarate, Ritika Mulagalapalli, Sekar Kulandaivel, Giulia Fanti, Vyas Sekar:
Towards Oblivious Network Analysis using Generative Adversarial Networks. HotNets 2019: 43-51 - [i17]Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar:
Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger. CoRR abs/1909.13403 (2019)
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