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Privacy

490 directly classified papers

Papers per year

Papers

Relaxed Marginal Consistency for Differentially Private Query Answering NIPS 2021
Lossless Compression of Efficient Private Local Randomizers ICML 2021
Protecting Gender and Identity with Disentangled Speech Representations INTERSPEECH 2021
Anonymizing Egocentric Videos ICCV 2021
Adversarial Example Detection Using Latent Neighborhood Graph ICCV 2021
Black-Box Detection of Backdoor Attacks With Limited Information and Data ICCV 2021
Excess Capacity and Backdoor Poisoning NIPS 2021
Initiative Defense against Facial Manipulation AAAI 2021
Provably Secure Federated Learning against Malicious Clients AAAI 2021
Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021
On Avoiding the Union Bound When Answering Multiple Differentially Private Queries COLT 2021
Generalized Linear Bandits with Local Differential Privacy NIPS 2021
A Comparative Study of Speech Anonymization Metrics INTERSPEECH 2020
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020
Perception of Privacy Measured in the Crowd — Paired Comparison on the Effect of Background Noises INTERSPEECH 2020
Model Watermarking for Image Processing Networks AAAI 2020
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020
Selling Data at an Auction under Privacy Constraints UAI 2020
How Private Are Commonly-Used Voting Rules? UAI 2020
Alleviating Privacy Attacks via Causal Learning ICML 2020
Closure Properties for Private Classification and Online Prediction COLT 2020
Defending Against Model Stealing Attacks With Adaptive Misinformation CVPR 2020
May I Ask Who’s Calling? Named Entity Recognition on Call Center Transcripts for Privacy Law Compliance EMNLP 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Synthetic Data Generators -- Sequential and Private NIPS 2020