Privacy
3,022 papers
Papers per year
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18
23
40
67
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302
367
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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