Privacy

Instance-wise Batch Label Restoration via Gradients in Federated Learning ICLR 2023 Integer Subspace Differential Privacy AAAI 2023 Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023 Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning? ICLR 2023 Joint Attribute and Model Generalization Learning for Privacy-Preserving Action Recognition NeurIPS 2023 Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023 K9db: Privacy-Compliant Storage For Web Applications By Construction OSDI 2023 KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment ACL 2023 k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NeurIPS 2023 Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023 Label differential privacy and private training data release ICML 2023 Label-Only Model Inversion Attacks via Knowledge Transfer NeurIPS 2023 Label Poisoning is All You Need NeurIPS 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Large-Capacity and Flexible Video Steganography via Invertible Neural Network CVPR 2023 Large-Scale Distributed Learning via Private On-Device LSH NeurIPS 2023 LDP-Feat: Image Features with Local Differential Privacy ICCV 2023 LeadFL: Client Self-Defense against Model Poisoning in Federated Learning ICML 2023 Learning-augmented private algorithms for multiple quantile release ICML 2023 Learning Functional Distributions with Private Labels ICML 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 Learning To Generate Image Embeddings With User-Level Differential Privacy CVPR 2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023 Learning under Label Proportions for Text Classification EMNLP 2023 LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023