membership inference attack

M$^4$I: Multi-modal Models Membership Inference NeurIPS 2022 Membership Inference Attacks Against Self-supervised Speech Models Interspeech 2022 On the Importance of Difficulty Calibration in Membership Inference Attacks ICLR 2022 Privacy for Free: How does Dataset Condensation Help Privacy? ICML 2022 PUMA: Performance Unchanged Model Augmentation for Training Data Removal AAAI 2022 Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks EMNLP 2022 Reconstructing Training Data From Trained Neural Networks NeurIPS 2022 To Trust or Not To Trust Prediction Scores for Membership Inference Attacks IJCAI 2022 ADePT: Auto-encoder based Differentially Private Text Transformation EACL 2021 Against Membership Inference Attack: Pruning is All You Need IJCAI 2021 Evaluating the Vulnerability of End-to-End Automatic Speech Recognition Models to Membership Inference Attacks Interspeech 2021 How Does Data Augmentation Affect Privacy in Machine Learning? AAAI 2021 Membership Inference Attacks Are Easier on Difficult Problems ICCV 2021 Membership Inference Attacks on Deep Regression Models for Neuroimaging MIDL 2021 On the Difficulty of Membership Inference Attacks CVPR 2021 When Does Data Augmentation Help With Membership Inference Attacks? ICML 2021 Alleviating Privacy Attacks via Causal Learning ICML 2020 On Log-Loss Scores and (No) Privacy EMNLP 2020