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Privacy

363 directly classified papers

Papers per year

Papers

Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication AAAI 2024
Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024
SAME: Sample Reconstruction against Model Extraction Attacks AAAI 2024
A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024
Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024
Towards Memorization-Free Diffusion Models CVPR 2024
Would You Like Your Data to Be Trained? A User Controllable Recommendation Framework AAAI 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility AAAI 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024
Federated Experiment Design under Distributed Differential Privacy AISTATS 2024
The Role of Over-Parameterization in Machine Learning – the Good, the Bad, the Ugly AAAI 2024
Data Contamination Calibration for Black-box LLMs ACL 2024
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives NIPS 2024
Continual Counting with Gradual Privacy Expiration NIPS 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach NIPS 2024
Scalable DP-SGD: Shuffling vs. Poisson Subsampling NIPS 2024
Wasserstein Differential Privacy AAAI 2024
A Generalized Shuffle Framework for Privacy Amplification: Strengthening Privacy Guarantees and Enhancing Utility AAAI 2024
Locally Differentially Private In-Context Learning COLING 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024