Privacy

R-GAP: Recursive Gradient Attack on Privacy ICLR 2021 Robust Watermarking for Deep Neural Networks via Bi-Level Optimization ICCV 2021 SecDD: Efficient and Secure Method for Remotely Training Neural Networks (Student Abstract) AAAI 2021 Tight Differential Privacy for Discrete-Valued Mechanisms and for the Subsampled Gaussian Mechanism Using FFT AISTATS 2021 Watermarking Deep Neural Networks with Greedy Residuals ICML 2021 A Comparative Study of Speech Anonymization Metrics Interspeech 2020 A Girl Has A Name: Detecting Authorship Obfuscation ACL 2020 Alleviating Privacy Attacks via Causal Learning ICML 2020 An end-to-end Differentially Private Latent Dirichlet Allocation Using a Spectral Algorithm ICML 2020 Bayesian Pseudocoresets NeurIPS 2020 Closure Properties for Private Classification and Online Prediction COLT 2020 Defending Against Model Stealing Attacks With Adaptive Misinformation CVPR 2020 ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 Federated Principal Component Analysis NeurIPS 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NeurIPS 2020 How Private Are Commonly-Used Voting Rules? UAI 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020 May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance EMNLP 2020 Model Watermarking for Image Processing Networks AAAI 2020 Obfuscation for Privacy-preserving Syntactic Parsing ACL 2020 Pan-Private Uniformity Testing COLT 2020 Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises Interspeech 2020 Selling Data at an Auction under Privacy Constraints UAI 2020