privacy protection

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models EMNLP 2025 VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition Dataset ICCV 2025 Vision Language Model Helps Private Information De-Identification in Vision Data ACL 2025 VPR-Cloak: A First Look at Privacy Cloak Against Visual Place Recognition ICCV 2025 Zero-Shot Privacy-Aware Text Rewriting via Iterative Tree Search EMNLP 2025 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024 Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models in Court Decisions NAACL 2024 Automated Anonymization of Parole Hearing Transcripts EMNLP 2024 Be like a Goldfish, Don't Memorize! Mitigating Memorization in Generative LLMs NeurIPS 2024 Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR 2024 Cloaked Classifiers: Pseudonymization Strategies on Sensitive Classification Tasks ACL 2024 Combating Security and Privacy Issues in the Era of Large Language Models NAACL 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024 DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection CVPR 2024 Differentially Private Synthetic Data via Foundation Model APIs 1: Images ICLR 2024 DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model EMNLP 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 Federated Continual Learning via Prompt-based Dual Knowledge Transfer ICML 2024 Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models NeurIPS 2024 Generate Synthetic Text Approximating the Private Distribution with Differential Privacy IJCAI 2024 Generative Unlearning for Any Identity CVPR 2024 HARMONIC: Harnessing LLMs for Tabular Data Synthesis and Privacy Protection NeurIPS 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024