Privacy

CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields ICCV 2023 Core slicing: closing the gap between leaky confidential VMs and bare-metal cloud OSDI 2023 Counterfactual Memorization in Neural Language Models NeurIPS 2023 Counting Distinct Elements in the Turnstile Model with Differential Privacy under Continual Observation NeurIPS 2023 Counting Distinct Elements Under Person-Level Differential Privacy NeurIPS 2023 Coupled Point Process-based Sequence Modeling for Privacy-preserving Network Alignment IJCAI 2023 Creating a Public Repository for Joining Private Data NeurIPS 2023 Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023 CUDA: Convolution-Based Unlearnable Datasets CVPR 2023 Data-Free Class-Incremental Hand Gesture Recognition ICCV 2023 Data Minimization at Inference Time NeurIPS 2023 Data Poisoning Attacks Against Multimodal Encoders ICML 2023 Data Portraits: Recording Foundation Model Training Data NeurIPS 2023 DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking AAAI 2023 Decision Tree for Locally Private Estimation with Public Data NeurIPS 2023 Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses NeurIPS 2023 DeepPrivacy2: Towards Realistic Full-Body Anonymization WACV 2023 Deep Regression Unlearning ICML 2023 Defending against Backdoor Attacks in Natural Language Generation AAAI 2023 Defending against Insertion-based Textual Backdoor Attacks via Attribution ACL 2023 Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning CVPR 2023 Defending Backdoor Attacks on Vision Transformer via Patch Processing AAAI 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks ICML 2023 DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models EMNLP 2023