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Privacy

2794 directly classified papers

Papers per year

Papers

PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality NSDI 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning CVPR 2025
SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models CVPR 2025
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025
Mr. Snuffleupagus at SemEval-2025 Task 4: Unlearning Factual Knowledge from LLMs Using Adaptive RMU SEMEVAL 2025
Howard University-AI4PC at SemEval-2025 Task 4: Unlearning Sensitive Content From Large Language Models Using Finetuning and Distillation for Selective Knowledge Removal SEMEVAL 2025
YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning SEMEVAL 2025
Indonesian Speech Content De-Identification in Low Resource Transcripts COLING 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models EMNLP 2025
Localized Concept Erasure for Text-to-Image Diffusion Models Using Training-Free Gated Low-Rank Adaptation CVPR 2025
Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints AAAI 2025
ESC: Erasing Space Concept for Knowledge Deletion CVPR 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models CVPR 2025
Classifier-Free Guidance Inside the Attraction Basin May Cause Memorization CVPR 2025
Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems CVPR 2025
Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift CVPR 2025
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models IJCNLP 2025
PII-Scope: A Comprehensive Study on Training Data Privacy Leakage in Pretrained LLMs IJCNLP 2025
How do we measure privacy in text? A survey of text anonymization metrics IJCNLP 2025
Low-Rank Adaptation in Multilinear Operator Networks for Security-Preserving Incremental Learning CVPR 2025
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025
3D-GSW: 3D Gaussian Splatting for Robust Watermarking CVPR 2025
Towards Source-Free Machine Unlearning CVPR 2025
Retracing the Past: LLMs Emit Training Data When They Get Lost EMNLP 2025
Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models ACL 2025