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Privacy

2794 directly classified papers

Papers per year

Papers

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding COLING 2024
Pseudonymization Categories across Domain Boundaries COLING 2024
Dataset-Distillation Generative Model for Speech Emotion Recognition INTERSPEECH 2024
Privacy-Preserving Optics for Enhancing Protection in Face De-Identification CVPR 2024
DAGER: Exact Gradient Inversion for Large Language Models NIPS 2024
Locally Differentially Private In-Context Learning COLING 2024
SilentCipher: Deep Audio Watermarking INTERSPEECH 2024
Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping INTERSPEECH 2024
On Differentially Private U Statistics NIPS 2024
Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models NIPS 2024
Probing the Feasibility of Multilingual Speaker Anonymization INTERSPEECH 2024
Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models NIPS 2024
Optimal Learning Policies for Differential Privacy in Multi-armed Bandits JMLR 2024
Differential Privacy in Scalable General Kernel Learning via $K$-means Nystr{\"o}m Random Features NIPS 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024
Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NIPS 2024
Optimal Locally Private Nonparametric Classification with Public Data JMLR 2024
All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024
Analysis of Pathological Speech – Pitfalls along the Way INTERSPEECH 2024
Faster Rates of Differentially Private Stochastic Convex Optimization JMLR 2024
Differentially private methods for managing model uncertainty in linear regression JMLR 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques NIPS 2024
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024