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USENIX Security '24 - NetShaper: A Differentially Private Network Side-Channel Mitigation System
USENIX Security '24 - How Does a Deep Learning Model Architecture Impact Its Privacy...
USENIX Security '19 - Utility-Optimized Local Differential Privacy Mechanisms for
USENIX Security '17 - Locally Differentially Private Protocols for Frequency Estimation
USENIX Security '24 - Privacy Side Channels in Machine Learning Systems
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Last Updated: October 27, 2026
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Relation Mining Under Local Differential Privacy DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-training Zihao Wang, Rui Zhu, and ... NetShaper: A Differentially Private Network Side-Channel Mitigation System Amir Sabzi, Rut Vora, Swati Goswami, Margo Seltzer, ... How Does a Deep Learning Model Architecture Impact Its Tianhao Wang, Jeremiah Blocki, and Ninghui Li, Purdue University; Somesh Jha, University of Wisconsin Madison Protocols ... dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis Haichen Wang and Shuchao Pang, Nanjing ... Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi and Hengrui Jia, University of Toronto and ... LanDscAPe: Exploring LDAP Weaknesses and Data Leaks at Internet Scale Jonas Kaspereit and Gurur Öndarö, Münster ...
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