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On the Privacy Properties of GAN-generated Samples


Jun 03, 2022
Zinan Lin, Vyas Sekar, Giulia Fanti

* AISTATS 2021 

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Towards a Defense against Backdoor Attacks in Continual Federated Learning


May 28, 2022
Shuaiqi Wang, Jonathan Hayase, Giulia Fanti, Sewoong Oh


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RareGAN: Generating Samples for Rare Classes


Mar 20, 2022
Zinan Lin, Hao Liang, Giulia Fanti, Vyas Sekar

* Published in AAAI 2022 

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Reducing the Communication Cost of Federated Learning through Multistage Optimization


Aug 16, 2021
Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh


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Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention


May 24, 2021
Hongyu Gong, Alberto Valido, Katherine M. Ingram, Giulia Fanti, Suma Bhat, Dorothy L. Espelage

* AAAI 2021 (AI for Social Impact track) 

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Self-Supervised Euphemism Detection and Identification for Content Moderation


Mar 31, 2021
Wanzheng Zhu, Hongyu Gong, Rohan Bansal, Zachary Weinberg, Nicolas Christin, Giulia Fanti, Suma Bhat

* 18 pages, 5 figures, 10 tables, 42nd IEEE Symposium on Security & Privacy (2021) 

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Efficient Algorithms for Federated Saddle Point Optimization


Feb 12, 2021
Charlie Hou, Kiran K. Thekumparampil, Giulia Fanti, Sewoong Oh


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Why Spectral Normalization Stabilizes GANs: Analysis and Improvements


Sep 06, 2020
Zinan Lin, Vyas Sekar, Giulia Fanti

* 45 pages, 71 figures 

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Generating High-fidelity, Synthetic Time Series Datasets with DoppelGANger


Sep 30, 2019
Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar

* 28 pages, 35 figures 

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