conftrace_

privacy preservation

380 papers

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Co-occurring keywords

federated learning (1333) large language model (13587) differential privacy (1016) machine unlearning (290) privacy protection (162) model compression (3302) knowledge distillation (3725) adversarial learning (1595) language model (4599) privacy-preserving learning (117)

Papers

Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection AAAI 2026
PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026
BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025
Resource-Efficient Anonymization of Textual Data via Knowledge Distillation from Large Language Models COLING 2025
TransLaTeX: Exposing the Last-Mile Execution Gap in LLM-Agent for Scientific Formatting IJCNLP 2025
PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles NAACL 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025
VerA: Versatile Anonymization Applicable to Clinical Facial Photographs WACV 2025
Privacy-Preserving Low-Rank Adaptation Against Membership Inference Attacks for Latent Diffusion Models AAAI 2025
Selective Inference with Distributed Data JMLR 2025
Understanding PII Leakage in Large Language Models: A Systematic Survey IJCAI 2025
A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach AAAI 2025
Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images AAAI 2025
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation WACV 2025
PrivateEye: In-Sensor Privacy Preservation Through Optical Feature Separation WACV 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities AAAI 2025
Balancing Privacy and Utility in Personal LLM Writing Tasks: An Automated Pipeline for Evaluating Anonymizations NAACL 2025
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments ICCV 2025
FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks AAAI 2025
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025
Model Rake: A Defense Against Stealing Attacks in Split Learning IJCAI 2025
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025