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Privacy

3,022 papers

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Papers

ALISON: Fast and Effective Stylometric Authorship Obfuscation AAAI 2024 All Rivers Run to the Sea: Private Learning with Asymmetric Flows CVPR 2024 Analysis of Differentially Private Synthetic Data: A Measurement Error Approach AAAI 2024 Analysis of Pathological Speech – Pitfalls along the Way Interspeech 2024 Analysis of Privacy Leakage in Federated Large Language Models AISTATS 2024 Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection Interspeech 2024 An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization ICLR 2024 An Inversion Attack Against Obfuscated Embedding Matrix in Language Model Inference EMNLP 2024 Anonymising Elderly and Pathological Speech: Voice Conversion Using DDSP and Query-by-Example Interspeech 2024 Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions NAACL 2024 Anonymization Through Substitution: Words vs Sentences ACL 2024 An Unforgeable Publicly Verifiable Watermark for Large Language Models ICLR 2024 An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning CVPR 2024 A Polynomial Time, Pure Differentially Private Estimator for Binary Product Distributions ALT 2024 A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation ACL 2024 A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks NAACL 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 Army of Thieves: Enhancing Black-Box Model Extraction via Ensemble Based Sample Selection WACV 2024 A Robust Semantics-based Watermark for Large Language Model against Paraphrasing NAACL 2024 ART: Automatic Red-teaming for Text-to-Image Models to Protect Benign Users NeurIPS 2024 A Simple and Practical Method for Reducing the Disparate Impact of Differential Privacy AAAI 2024 Assessing Authenticity and Anonymity of Synthetic User-generated Content in the Medical Domain EACL 2024 A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024 Asynchronous Voice Anonymization Using Adversarial Perturbation On Speaker Embedding Interspeech 2024 A Synthetic Dataset for Personal Attribute Inference NeurIPS 2024