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Privacy

363 directly classified papers

Papers per year

Papers

PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023
Privacy Attacks on Schedule-Driven Data AAAI 2023
Purifier: Defending Data Inference Attacks via Transforming Confidence Scores AAAI 2023
UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning EMNLP 2023
Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023
Integer Subspace Differential Privacy AAAI 2023
A Customized Text Sanitization Mechanism with Differential Privacy ACL 2023
Differentially Private Fair Division AAAI 2023
Differentially Private Condorcet Voting AAAI 2023
Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information NIPS 2023
Win-Win: A Privacy-Preserving Federated Framework for Dual-Target Cross-Domain Recommendation AAAI 2023
Tight Data Access Bounds for Private Top-$k$ Selection ICML 2023
A Randomized Approach to Tight Privacy Accounting NIPS 2023
On Computing Pairwise Statistics with Local Differential Privacy NIPS 2023
Practical Differentially Private Hyperparameter Tuning with Subsampling NIPS 2023
Counterfactual Memorization in Neural Language Models NIPS 2023
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023
Nearly Tight Bounds For Differentially Private Multiway Cut NIPS 2023
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NIPS 2023
A Smooth Binary Mechanism for Efficient Private Continual Observation NIPS 2023
From Adaptive Query Release to Machine Unlearning ICML 2023
Effectively Using Public Data in Privacy Preserving Machine Learning ICML 2023
Learning-augmented private algorithms for multiple quantile release ICML 2023