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Privacy

2794 directly classified papers

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Papers

User-level Differentially Private Stochastic Convex Optimization: Efficient Algorithms with Optimal Rates AISTATS 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NIPS 2024
LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud NAACL 2024
Securing Billion Bluetooth Devices Leveraging Learning-Based Techniques AAAI 2024
Frequency Oracle for Sensitive Data Monitoring (Student Abstract) AAAI 2024
HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation AAAI 2024
Finding ε and δ of Traditional Disclosure Control Systems AAAI 2024
Private Learning with Public Features AISTATS 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024
Differentially Private Conditional Independence Testing AISTATS 2024
Differentially Private Optimization with Sparse Gradients NIPS 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
Towards the Robustness of Differentially Private Federated Learning AAAI 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024
The Relative Gaussian Mechanism and its Application to Private Gradient Descent AISTATS 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining NIPS 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs EMNLP 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model AISTATS 2024
Federated Experiment Design under Distributed Differential Privacy AISTATS 2024
UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NIPS 2024