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Poster
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Wed 8:45
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Initialization Matters: Privacy-Utility Analysis of Overparameterized Neural Networks
Jiayuan Ye · Zhenyu Zhu · Fanghui Liu · Reza Shokri · Volkan Cevher
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Workshop
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Secrecy and Sensitivity: Privacy-Performance Trade-Offs in Encrypted Traffic Classification
Spencer Giddens · Raphael Labaca-Castro · Dan Zhao · Sandra Guasch · Parth Mishra · Nicolas Gama
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Poster
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Thu 8:45
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Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation
Wei-Ning Chen · Dan Song · Ayfer Ozgur · Peter Kairouz
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Workshop
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Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Xinlu Zhang · Shiyang Li · Xianjun Yang · Chenxin Tian · Yao Qin · Linda Petzold
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Poster
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Wed 8:45
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Unbounded Differentially Private Quantile and Maximum Estimation
David Durfee
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Workshop
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NeuroDB: Efficient, Privacy-Preserving and Robust Query Answering with Neural Networks
Sepanta Zeighami · Cyrus Shahabi
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Poster
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Tue 8:45
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LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference
Hongwu Peng · Ran Ran · Yukui Luo · Jiahui Zhao · Shaoyi Huang · Kiran Thorat · Tong Geng · Chenghong Wang · Xiaolin Xu · Wujie Wen · Caiwen Ding
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Poster
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Wed 8:45
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Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Sara Pieri · Jose Restom · Samuel Horváth · Hisham Cholakkal
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Workshop
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Breaking Physical and Linguistic Borders: Privacy-Preserving Multilingual Prompt Tuning for Low-Resource Languages
Wanru Zhao · Yihong Chen
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Poster
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Tue 15:15
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Bounding training data reconstruction in DP-SGD
Jamie Hayes · Borja Balle · Saeed Mahloujifar
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Workshop
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Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting
Xinlu Zhang · Shiyang Li · Xianjun Yang · Chenxin Tian · Yao Qin · Linda Petzold
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Poster
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Thu 15:00
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(Amplified) Banded Matrix Factorization: A unified approach to private training
Christopher A. Choquette-Choo · Arun Ganesh · Ryan McKenna · H. Brendan McMahan · John Rush · Abhradeep Guha Thakurta · Zheng Xu
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