Privacy

Data Ownership and Privacy in Personalized AI Models in Assistive Healthcare IJCAI 2024 Data Poisoning based Backdoor Attacks to Contrastive Learning CVPR 2024 Dataset-Distillation Generative Model for Speech Emotion Recognition Interspeech 2024 DataStealing: Steal Data from Diffusion Models in Federated Learning with Multiple Trojans NeurIPS 2024 DDxGym: Online Transformer Policies in a Knowledge Graph Based Natural Language Environment COLING 2024 Debiasing Synthetic Data Generated by Deep Generative Models NeurIPS 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release NeurIPS 2024 Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models ACL 2024 Defending Against Backdoor Attacks by Layer-wise Feature Analysis (Extended Abstract) IJCAI 2024 Defending Against Disinformation Attacks in Open-Domain Question Answering EACL 2024 Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning NAACL 2024 Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models NeurIPS 2024 De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024 Deidentifying a Norwegian Clinical Corpus - an Effort to Create a Privacy-preserving Norwegian Large Clinical Language Model EACL 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Demystifying Poisoning Backdoor Attacks from a Statistical Perspective ICLR 2024 Demystifying Verbatim Memorization in Large Language Models EMNLP 2024 Detecting, Explaining, and Mitigating Memorization in Diffusion Models ICLR 2024 Detecting Personal Identifiable Information in Swedish Learner Essays EACL 2024 Detecting Pretraining Data from Large Language Models ICLR 2024 Detection and Defense of Unlearnable Examples AAAI 2024 DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models ICLR 2024 Differentially Private Conditional Independence Testing AISTATS 2024 Differentially Private Data Release for Mixed-type Data via Latent Factor Models JMLR 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024