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Privacy

2794 directly classified papers

Papers per year

Papers

Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation AAAI 2026

PAGE: A Unified Approach for Federated Graph Unlearning AAAI 2026

TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis AAAI 2026

Robust Watermarking on Gradient Boosting Decision Trees 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

ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference AAAI 2026

ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping AAAI 2026

Retaliatory Attacks Against Federated Unlearning via Data Leakage AAAI 2026

Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data AAAI 2026

Federated Context-Aware Personalized Recommendation AAAI 2026

Reverse Personalization WACV 2026

Mitigating Backdoor Attacks via Trigger Reconstruction and Model Hardening WACV 2026

GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion WACV 2026

M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models WACV 2026

Personalized Image Privacy Advisors via Federated Daisy-Chaining WACV 2026

Leveraging Sparsity for Privacy in Collaborative Inference WACV 2026

Marshaled Learning: Bridging Large Neural Networks with Memory-Constrained Trusted Execution Environments in Federated Learning WACV 2026

BAFLE-DCT: Bypassing Adversarial Filters via Frequency-Selective Embedding in the DCT Domain WACV 2026

Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning WACV 2026

NRGMark: Localized Watermarking for Energy Transparency in Images WACV 2026

Multilingual Amnesia: On the Transferability of Unlearning in Multilingual LLMs EACL 2026

Neural Breadcrumbs: Membership Inference Attacks on LLMs Through Hidden State and Attention Pattern Analysis EACL 2026

Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models AAAI 2026