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Privacy

2794 directly classified papers

Papers per year

Papers

FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models AAAI 2026
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026
Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning AAAI 2026
Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data AAAI 2026
An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses AAAI 2026
On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning AAAI 2026
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping AAAI 2026
Rethinking Membership Inference Attacks for CLIP AAAI 2026
Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework AAAI 2026
Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization AAAI 2026
An Information Theoretic Evaluation Metric for Strong Unlearning AAAI 2026
PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery AAAI 2026
DIET: Machine Unlearning on a Data-Diet AAAI 2026
Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm AAAI 2026
FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients AAAI 2026
PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026
Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction AAAI 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping AAAI 2026
InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference AAAI 2026
Demystifying Foreground-Background Memorization in Diffusion Models AAAI 2026
Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services AAAI 2026
Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026
Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks AAAI 2026
Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models AAAI 2026
FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification AAAI 2026