Privacy

Towards Robust Evaluation of Unlearning in LLMs via Data Transformations EMNLP 2024 Towards the Robustness of Differentially Private Federated Learning AAAI 2024 Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries ACL 2024 Trap-MID: Trapdoor-based Defense against Model Inversion Attacks NeurIPS 2024 TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification ACL 2024 Truthful High Dimensional Sparse Linear Regression NeurIPS 2024 TSGM: A Flexible Framework for Generative Modeling of Synthetic Time Series NeurIPS 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation ICLR 2024 Undetectable Watermarks for Language Models COLT 2024 Ungeneralizable Examples CVPR 2024 Unified Gradient-Based Machine Unlearning with Remain Geometry Enhancement NeurIPS 2024 Unified Mechanism-Specific Amplification by Subsampling and Group Privacy Amplification NeurIPS 2024 United We Stand: Accelerating Privacy-Preserving Neural Inference by Conjunctive Optimization with Interleaved Nexus AAAI 2024 Universal Backdoor Attacks ICLR 2024 Universal Exact Compression of Differentially Private Mechanisms NeurIPS 2024 Universally Instance-Optimal Mechanisms for Private Statistical Estimation COLT 2024 Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need NeurIPS 2024 Unlearning during Learning: An Efficient Federated Machine Unlearning Method IJCAI 2024 Unlearning from Weakly Supervised Learning IJCAI 2024 Unlocking Memorization in Large Language Models with Dynamic Soft Prompting EMNLP 2024 Unlocking the Potential of Large Language Models for Clinical Text Anonymization: A Comparative Study ACL 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation NeurIPS 2024 User Inference Attacks on Large Language Models EMNLP 2024