conftrace_

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

BIV-Priv-Seg: Locating Private Content in Images Taken by People with Visual Impairments WACV 2025
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency CVPR 2025
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data EMNLP 2025
TransLaTeX: Exposing the Last-Mile Execution Gap in LLM-Agent for Scientific Formatting IJCNLP 2025
MOSAIC: Generating Consistent, Privacy-Preserving Scenes from Multiple Depth Views in Multi-Room Environments ICCV 2025
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025
FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025
Balancing Privacy and Performance: A Many-in-One Approach for Image Anonymization AAAI 2025
MALTO at SemEval-2025 Task 4: Dual Teachers for Unlearning Sensitive Content in LLMs SEMEVAL 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks AAAI 2025
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition CVPR 2024
SIFU: Sequential Informed Federated Unlearning for Efficient and Provable Client Unlearning in Federated Optimization AISTATS 2024
On the Ability of Developers' Training Data Preservation of Learnware NIPS 2024
Gradient Coreset for Federated Learning WACV 2024
Generalizing Clinical De-identification Models by Privacy-safe Data Augmentation using GPT-4 EMNLP 2024
Privacy-Enhancing Person Re-Identification Framework - A Dual-Stage Approach WACV 2024
Learn To Unlearn for Deep Neural Networks: Minimizing Unlearning Interference With Gradient Projection WACV 2024
Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024
Taming Normalizing Flows WACV 2024
CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024
Extending Off-the-shelf NER Systems to Personal Information Detection in Dialogues with a Virtual Agent: Findings from a Real-Life Use Case EACL 2024
De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024