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Tue Jul 19 07:30 AM -- 07:35 AM (PDT) @ Ballroom 1 & 2
Differentially Private Approximate Quantiles
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Tue Jul 19 07:35 AM -- 07:40 AM (PDT) @ Ballroom 1 & 2
Fairness Interventions as (Dis)Incentives for Strategic Manipulation
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Tue Jul 19 07:40 AM -- 07:45 AM (PDT) @ Ballroom 1 & 2
Robust Models Are More Interpretable Because Attributions Look Normal
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Tue Jul 19 07:45 AM -- 07:50 AM (PDT) @ Ballroom 1 & 2
Sequential Covariate Shift Detection Using Classifier Two-Sample Tests
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Tue Jul 19 07:50 AM -- 07:55 AM (PDT) @ Ballroom 1 & 2
A Joint Exponential Mechanism For Differentially Private Top-$k$
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Tue Jul 19 07:55 AM -- 08:00 AM (PDT) @ Ballroom 1 & 2
Transfer Learning In Differential Privacy's Hybrid-Model
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Tue Jul 19 08:00 AM -- 08:05 AM (PDT) @ Ballroom 1 & 2
Robust Kernel Density Estimation with Median-of-Means principle
Oral
Tue Jul 19 08:05 AM -- 08:25 AM (PDT) @ Ballroom 1 & 2
Bounding Training Data Reconstruction in Private (Deep) Learning
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Tue Jul 19 08:25 AM -- 08:30 AM (PDT) @ Ballroom 1 & 2
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
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Tue Jul 19 08:30 AM -- 08:35 AM (PDT) @ Ballroom 1 & 2
FriendlyCore: Practical Differentially Private Aggregation
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Tue Jul 19 08:35 AM -- 08:40 AM (PDT) @ Ballroom 1 & 2
ViT-NeT: Interpretable Vision Transformers with Neural Tree Decoder
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Tue Jul 19 08:40 AM -- 08:45 AM (PDT) @ Ballroom 1 & 2
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
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Tue Jul 19 08:45 AM -- 08:50 AM (PDT) @ Ballroom 1 & 2
Public Data-Assisted Mirror Descent for Private Model Training
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Paper PDF]
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Tue Jul 19 08:50 AM -- 08:55 AM (PDT) @ Ballroom 1 & 2
Low-Complexity Deep Convolutional Neural Networks on Fully Homomorphic Encryption Using Multiplexed Parallel Convolutions
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Tue Jul 19 08:55 AM -- 09:00 AM (PDT) @ Ballroom 1 & 2
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data