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Privacy

2,847 papers

Papers per year

18
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Papers

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity NIPS 2023
Post-processing Private Synthetic Data for Improving Utility on Selected Measures NIPS 2023
Private (Stochastic) Non-Convex Optimization Revisited: Second-Order Stationary Points and Excess Risks NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML NIPS 2023
Private estimation algorithms for stochastic block models and mixture models NIPS 2023
Label-Only Model Inversion Attacks via Knowledge Transfer NIPS 2023
Privacy Amplification via Compression: Achieving the Optimal Privacy-Accuracy-Communication Trade-off in Distributed Mean Estimation NIPS 2023
Faster approximate subgraph counts with privacy NIPS 2023
Label Poisoning is All You Need NIPS 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence NIPS 2023
Creating a Public Repository for Joining Private Data NIPS 2023
Dynamic Personalized Federated Learning with Adaptive Differential Privacy NIPS 2023
Data Minimization at Inference Time NIPS 2023
Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack NIPS 2023
Setting the Trap: Capturing and Defeating Backdoors in Pretrained Language Models through Honeypots NIPS 2023
k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NIPS 2023
Gaussian Membership Inference Privacy NIPS 2023
Breaking the Communication-Privacy-Accuracy Tradeoff with $f$-Differential Privacy NIPS 2023
(Amplified) Banded Matrix Factorization: A unified approach to private training NIPS 2023
Static and Sequential Malicious Attacks in the Context of Selective Forgetting NIPS 2023
What Can We Learn from Unlearnable Datasets? NIPS 2023
Adversarially Robust Distributed Count Tracking via Partial Differential Privacy NIPS 2023
Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models NIPS 2023
Differentially Private Statistical Inference through $\beta$-Divergence One Posterior Sampling NIPS 2023
Black-Box Differential Privacy for Interactive ML NIPS 2023