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Privacy

363 directly classified papers

Papers per year

Papers

SPAct: Self-Supervised Privacy Preservation for Action Recognition CVPR 2022
GradViT: Gradient Inversion of Vision Transformers CVPR 2022
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022
Large-Scale Differentially Private BERT EMNLP 2022
Should I disclose my dataset? Caveats between reproducibility and individual data rights EMNLP 2022
A General Framework for Auditing Differentially Private Machine Learning NIPS 2022
Privacy Induces Robustness: Information-Computation Gaps and Sparse Mean Estimation NIPS 2022
Recovering Private Text in Federated Learning of Language Models NIPS 2022
Composition Theorems for Interactive Differential Privacy NIPS 2022
Near-Optimal Private and Scalable $k$-Clustering NIPS 2022
Momentum Aggregation for Private Non-convex ERM NIPS 2022
Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NIPS 2022
Measuring Data Reconstruction Defenses in Collaborative Inference Systems NIPS 2022
Prompt Certified Machine Unlearning with Randomized Gradient Smoothing and Quantization NIPS 2022
Private Set Generation with Discriminative Information NIPS 2022
Network change point localisation under local differential privacy NIPS 2022
Parameters or Privacy: A Provable Tradeoff Between Overparameterization and Membership Inference NIPS 2022
On Learning and Refutation in Noninteractive Local Differential Privacy NIPS 2022
Algorithms that Approximate Data Removal: New Results and Limitations NIPS 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms NIPS 2022
Differentially Private Generalized Linear Models Revisited NIPS 2022
Reconstructing Training Data From Trained Neural Networks NIPS 2022
Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022
In Differential Privacy, There is Truth: on Vote-Histogram Leakage in Ensemble Private Learning NIPS 2022
Mean Estimation with User-level Privacy under Data Heterogeneity NIPS 2022