Privacy

Experience Report: Implementing Machine Translation in a Regulated Industry EMNLP 2025 Exploiting Instruction-Following Retrievers for Malicious Information Retrieval ACL 2025 Exploiting the Shadows: Unveiling Privacy Leaks through Lower-Ranked Tokens in Large Language Models ACL 2025 Exploring and Detecting Self-disclosure in Multi-modal posts on Chinese Social Media EMNLP 2025 Exploring Local Memorization in Diffusion Models via Bright Ending Attention ICLR 2025 Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting AAAI 2025 Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation WACV 2025 Factuality Beyond Coherence: Evaluating LLM Watermarking Methods for Medical Texts EMNLP 2025 Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes AAAI 2025 FaithUn: Toward Faithful Forgetting in Language Models by Investigating the Interconnectedness of Knowledge EMNLP 2025 FDPT: Federated Discrete Prompt Tuning for Black-Box Visual-Language Models ICCV 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025 FedCoT: Federated Chain-of-Thought Distillation for Large Language Models EMNLP 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025 Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond ICLR 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling ICCV 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025