Privacy

ER-AE: Differentially Private Text Generation for Authorship Anonymization NAACL 2021 ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare AAAI 2021 Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data ALT 2021 Estimating Sparse Discrete Distributions Under Privacy and Communication Constraints ALT 2021 Evading the Curse of Dimensionality in Unconstrained Private GLMs AISTATS 2021 Evaluating Gradient Inversion Attacks and Defenses in Federated Learning NeurIPS 2021 Evaluating the Vulnerability of End-to-End Automatic Speech Recognition Models to Membership Inference Attacks Interspeech 2021 Exact Privacy Guarantees for Markov Chain Implementations of the Exponential Mechanism with Artificial Atoms NeurIPS 2021 Exploiting Data Sparsity in Secure Cross-Platform Social Recommendation NeurIPS 2021 Exploiting Explanations for Model Inversion Attacks ICCV 2021 Exposing Cyber-Physical System Weaknesses by Implicitly Learning their Underlying Models ACML 2021 Fast Algorithms for Stackelberg Prediction Game with Least Squares Loss ICML 2021 Fast and Memory Efficient Differentially Private-SGD via JL Projections NeurIPS 2021 FATE: An Industrial Grade Platform for Collaborative Learning With Data Protection JMLR 2021 Feature Importance-Aware Transferable Adversarial Attacks ICCV 2021 Federated Continual Learning with Weighted Inter-client Transfer ICML 2021 Federated f-Differential Privacy AISTATS 2021 Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021 Federated Model Distillation with Noise-Free Differential Privacy IJCAI 2021 FedRec++: Lossless Federated Recommendation with Explicit Feedback AAAI 2021 Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models IJCAI 2021 FLAME: Differentially Private Federated Learning in the Shuffle Model AAAI 2021 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NeurIPS 2021 Foundations of Bayesian Learning from Synthetic Data AISTATS 2021