Privacy Papers

• Differentially Private Contextual Linear Bandits
• Protecting Privacy in Video Surveillance
• PrivacyNet: Semi-Adversarial Networks for Multi-attribute Face Privacy
• Password-conditioned Anonymization and Deanonymization with Face Identity Transformers
• FSGAN: Subject Agnostic Face Swapping and Reenactment
• Privacy-Protective-GAN for Face De-identification
• Faceless Person Recognition; Privacy Implications in Social Media
• Image Privacy Prediction Using Deep Neural Networks
• Adversarial Image Perturbation for Privacy Protection A Game Theory Perspective
• Live Face De-Identification in Video
• On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs
• Semi-Adversarial Networks: Convolutional Autoencoders for Imparting Privacy to Face Images
• The Privacy-Utility Tradeoff for Remotely Teleoperated Robots
• Learning to Anonymize Faces for Privacy Preserving Action Detection
• The Algorithmic Foundations of Differential Privacy
• AnonymousNet: Natural Face De-Identification with Measurable Privacy
• Adversarial Privacy-preserving Filter
• Soft Biometric Privacy: Retaining Biometric Utility of Face Images while Perturbing Gender
• DeepPrivacy: A Generative Adversarial Network for Face Anonymization
• Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection
• Controllable Face Privacy
• PE-MIU: A Training-Free Privacy-Enhancing Face Recognition Approach Based on Minimum Information Units
• Unsupervised Enhancement of Soft-biometric Privacy with Negative Face Recognition
• Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
• Exploiting Unintended Feature Leakage in Collaborative Learning
• Privacy-Preserving Visual Learning Using Doubly Permuted Homomorphic Encryption
• FlowSAN: Privacy-enhancing Semi-Adversarial Networks to Confound Arbitrary Face-based Gender Classifiers
• Gaussian Differential Privacy
• Privacy-Preserving Human Activity Recognition from Extreme Low Resolution
• Siamese Generative Adversarial Privatizer for Biometric Data
• Attribute Preserved Face De-identification
• Privacy-Preserving Multi-Party Contextual Bandits
• pMSE Mechanism: Differentially Private Synthetic Data with Maximal Distributional Similarity
• Privacy-CNH: A Framework to Detect Photo Privacy with Convolutional Neural Network using Hierarchical Features
• Towards Practical Differentially Private Convex Optimization
• Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics
• Average-Case Averages: Private Algorithms for Smooth Sensitivity and Mean Estimation
• Answering Multi-Dimensional Analytical Queries under Local Differential Privacy
• Deep Learning with Differential Privacy
• ABY3: A Mixed Protocol Framework for Machine Learning
• Differentially Private Algorithms for Learning Mixtures of Separated Gaussians
• Privacy-Preserving Deep Learning
• Fawkes: Protecting Privacy against Unauthorized Deep Learning Models
• SecureML: A System for Scalable Privacy-Preserving Machine Learning
• Locally Differentially Private Protocols for Frequency Estimation
• Private Hypothesis Selection
• Protecting Privacy when Disclosing Information: k-Anonymity and Its Enforcement through Generalization and Suppression
• DP-CGAN : Differentially Private Synthetic Data and Label Generation
• (Nearly) Optimal Differentially Private Stochastic Multi-Arm Bandits
• Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits
• Differentially Private Continual Learning
• Individual Fairness Under Composition