Privacy

Subset-Based Instance Optimality in Private Estimation ICML 2023 Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning ICML 2023 Synthcity: a benchmark framework for diverse use cases of tabular synthetic data NeurIPS 2023 Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation ICLR 2023 Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe ACL 2023 TabLeak: Tabular Data Leakage in Federated Learning ICML 2023 TabMT: Generating tabular data with masked transformers NeurIPS 2023 TeD-SPAD: Temporal Distinctiveness for Self-Supervised Privacy-Preservation for Video Anomaly Detection ICCV 2023 Temporal Robustness against Data poisoning NeurIPS 2023 Text Embeddings Reveal (Almost) As Much As Text EMNLP 2023 TextMixer: Mixing Multiple Inputs for Privacy-Preserving Inference EMNLP 2023 TextObfuscator: Making Pre-trained Language Model a Privacy Protector via Obfuscating Word Representations ACL 2023 The communication cost of security and privacy in federated frequency estimation AISTATS 2023 The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection CVPR 2023 The Parameterized Complexity of Network Microaggregation AAAI 2023 The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning ICCV 2023 The Price of Differential Privacy under Continual Observation ICML 2023 The Resource Problem of Using Linear Layer Leakage Attack in Federated Learning CVPR 2023 The Saddle-Point Method in Differential Privacy ICML 2023 The Stable Signature: Rooting Watermarks in Latent Diffusion Models ICCV 2023 The Target-Charging Technique for Privacy Analysis across Interactive Computations NeurIPS 2023 The Test of Tests: A Framework for Differentially Private Hypothesis Testing ICML 2023 Ticketed Learning–Unlearning Schemes COLT 2023 Tight Data Access Bounds for Private Top-k Selection ICML 2023 Towards a Framework for Privacy-Preserving Pedestrian Analysis WACV 2023