Privacy

Fingerprinting Deep Image Restoration Models ICCV 2023 FLASH: Towards a High-performance Hardware Acceleration Architecture for Cross-silo Federated Learning NSDI 2023 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023 FLIP: A Utility Preserving Privacy Mechanism for Time Series JMLR 2023 Flocks of Stochastic Parrots: Differentially Private Prompt Learning for Large Language Models NeurIPS 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 Foundation Models and Fair Use JMLR 2023 From Adaptive Query Release to Machine Unlearning ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 From Robustness to Privacy and Back ICML 2023 Fully-Adaptive Composition in Differential Privacy ICML 2023 Functional Renyi Differential Privacy for Generative Modeling NeurIPS 2023 Game-theoretic Mechanisms for Eliciting Accurate Information IJCAI 2023 GAN-Based Domain Inference Attack AAAI 2023 GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference NeurIPS 2023 Gaussian Differential Privacy on Riemannian Manifolds NeurIPS 2023 Gaussian Membership Inference Privacy NeurIPS 2023 Generalization in the Face of Adaptivity: A Bayesian Perspective NeurIPS 2023 Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023 Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023 Generated Graph Detection ICML 2023 Generating Private Synthetic Data with Genetic Algorithms ICML 2023 Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning ICCV 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Global Balanced Experts for Federated Long-Tailed Learning ICCV 2023