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Privacy

2794 directly classified papers

Papers per year

Papers

DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023
GAN-Based Domain Inference Attack AAAI 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023
Copyright-Certified Distillation Dataset: Distilling One Million Coins into One Bitcoin with Your Private Key AAAI 2023
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition NIPS 2023
User-Level Differential Privacy With Few Examples Per User NIPS 2023
Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning AAAI 2023
Foundation Models and Fair Use JMLR 2023
Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023
Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model AAAI 2023
Differentially Private Fair Division AAAI 2023
The Parameterized Complexity of Network Microaggregation AAAI 2023
Industry-Scale Orchestrated Federated Learning for Drug Discovery AAAI 2023
Integer Subspace Differential Privacy AAAI 2023
Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation ICCV 2023
Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023
Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023
Adaptive Image Anonymization in the Context of Image Classification with Neural Networks ICCV 2023
Privacy Attacks on Schedule-Driven Data AAAI 2023
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization CVPR 2023
An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NIPS 2023