Privacy

LinGCN: Structural Linearized Graph Convolutional Network for Homomorphically Encrypted Inference NeurIPS 2023 LOCA: A Location-Oblivious Cellular Architecture NSDI 2023 Locally Differentially Private Document Generation Using Zero Shot Prompting EMNLP 2023 Machine Unlearning of Federated Clusters ICLR 2023 Make Landscape Flatter in Differentially Private Federated Learning CVPR 2023 Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data ACL 2023 Manipulating Transfer Learning for Property Inference CVPR 2023 Margin-based Neural Network Watermarking ICML 2023 Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack NeurIPS 2023 Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers CVPR 2023 Mechanism Design for Collaborative Normal Mean Estimation NeurIPS 2023 Membership Inference Attacks against Language Models via Neighbourhood Comparison ACL 2023 Membership Inference Attacks against Synthetic Data through Overfitting Detection AISTATS 2023 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy NeurIPS 2023 Mirror Diffusion Models for Constrained and Watermarked Generation NeurIPS 2023 Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation EMNLP 2023 Mnemonist: Locating Model Parameters that Memorize Training Examples UAI 2023 Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023 Model Sparsity Can Simplify Machine Unlearning NeurIPS 2023 MoPe: Model Perturbation based Privacy Attacks on Language Models EMNLP 2023 MPCFORMER: FAST, PERFORMANT AND PRIVATE TRANSFORMER INFERENCE WITH MPC ICLR 2023 MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention ICCV 2023 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning ICML 2023 Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 Multi-step Jailbreaking Privacy Attacks on ChatGPT EMNLP 2023