Security & Privacy

HEPrune: Fast Private Training of Deep Neural Networks With Encrypted Data Pruning NeurIPS 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 IGAMT: Privacy-Preserving Electronic Health Record Synthesization with Heterogeneity and Irregularity AAAI 2024 Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training AISTATS 2024 Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model ICLR 2024 In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification CVPR 2024 Instance-Optimal Private Density Estimation in the Wasserstein Distance NeurIPS 2024 Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract COLT 2024 Integer Is Enough: When Vertical Federated Learning Meets Rounding AAAI 2024 I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024 IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking AAAI 2024 Is LLM-as-a-Judge Robust? Investigating Universal Adversarial Attacks on Zero-shot LLM Assessment EMNLP 2024 Joint Selection: Adaptively Incorporating Public Information for Private Synthetic Data AISTATS 2024 KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024 LabelDP-Pro: Learning with Label Differential Privacy via Projections ICLR 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 Learnable Cube-Based Video Encryption for Privacy-Preserving Action Recognition WACV 2024 Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers AAAI 2024 Locally Differentially Private In-Context Learning COLING 2024 Look Who’s Talking Now: Covert Channels From Biased LLMs EMNLP 2024 Lower Bounds for Differential Privacy Under Continual Observation and Online Threshold Queries COLT 2024 Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024 Machine Unlearning of Pre-trained Large Language Models ACL 2024 MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection CVPR 2024 Maximum Knowledge Orthogonality Reconstruction With Gradients in Federated Learning WACV 2024