Security & Privacy

Physical-World Optical Adversarial Attacks on 3D Face Recognition CVPR 2023 PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting ICCV 2023 PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models AAAI 2023 Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023 Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NeurIPS 2023 PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving WACV 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Privacy Attacks on Schedule-Driven Data AAAI 2023 Privacy Auditing with One (1) Training Run NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023 Privacy Aware Question-Answering System for Online Mental Health Risk Assessment ACL 2023 Privacy-Aware Rejection Sampling JMLR 2023 Privacy-Preserving Adversarial Facial Features CVPR 2023 Privacy-Preserving Face Recognition Using Random Frequency Components ICCV 2023 Privacy-preserving Representation Learning for Speech Understanding Interspeech 2023 Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023 Privacy Risks in Speech Emotion Recognition: A Systematic Study on Gender Inference Attack Interspeech 2023 Private Covariance Approximation and Eigenvalue-Gap Bounds for Complex Gaussian Perturbations COLT 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Private Statistical Estimation of Many Quantiles ICML 2023 Protecting Global Properties of Datasets with Distribution Privacy Mechanisms AISTATS 2023 Protecting Language Generation Models via Invisible Watermarking ICML 2023 Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network AAAI 2023 Regression with Label Differential Privacy ICLR 2023 Reinforcement Learning-Based Black-Box Model Inversion Attacks CVPR 2023