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Privacy

3,022 papers

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Papers

Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection AAAI 2026 Estimating the True Distribution of Data Collected with Randomized Response AAAI 2026 Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning ACL 2026 Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection AAAI 2026 Fair Graph Learning with Limited Sensitive Attribute Information AAAI 2026 FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification AAAI 2026 FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels WACV 2026 Federated Context-Aware Personalized Recommendation AAAI 2026 Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026 FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026 FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment AAAI 2026 FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026 FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness AAAI 2026 FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting AAAI 2026 FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning AAAI 2026 FiMMIA: scaling semantic perturbation-based membership inference across modalities EACL 2026 Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models AAAI 2026 Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models AAAI 2026 Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation AAAI 2026 From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning AAAI 2026 GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization AAAI 2026 GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations AAAI 2026 GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion WACV 2026 Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures AAAI 2026 GUIC: Certified Graph Unlearning with Individual Fairness Guarantees AAAI 2026