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privacy preservation
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
Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract)
AAAI 2026
Your Inference Request Will Become a Black Box: Confidential Inference for Cloud-based Large Language Models
ACL 2026
CAPID: Context-Aware PII Detection for Question-Answering Systems
EACL 2026
Privacy-Preserving Argumentative Explanations (Student Abstract)
AAAI 2026
Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models
AAAI 2026
FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models
AAAI 2026
OpenLVLM-MIA: A Controlled Benchmark Revealing the Limits of Membership Inference Attacks on Large Vision-Language Models
WACV 2026
Unintended Memorization of Sensitive Information in Fine-Tuned Language Models
EACL 2026
LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping
AAAI 2026
Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection
AAAI 2026
STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models
AAAI 2026
When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing
AAAI 2026
Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint
AAAI 2026
AssetOpsBench-Live: Privacy-Aware Online Evaluation of Multi-Agent Performance in Industrial Operations
AAAI 2026
GFT-GCN: Privacy-Preserving 3D Face Mesh Recognition with Spectral Diffusion
WACV 2026
Hierarchical Instance Tracking to Balance Privacy Preservation with Accessible Information
WACV 2026
Federated Model Synchronization for Diagnostic Redefinition through a Novel Selective Parameter Unlearning
WACV 2026
Multi-Token Completion for Text Anonymization
EACL 2026
Synthetic Doctor-Patient Dialogue Generation for Robust Medical ASR: A Scalable Pipeline for Vocabulary Expansion and Privacy Preservation
EACL 2026
PAGE: A Unified Approach for Federated Graph Unlearning
AAAI 2026
TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis
AAAI 2026
Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection
AAAI 2026
Anti-adversarial Learning: Desensitizing Prompts for Large Language Model
AAAI 2026
SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces
AAAI 2026
Beyond End-to-End: Dynamic Chain Optimization for Private LLM Adaptation on the Edge
ACL 2026
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