Privacy

Flexible Accuracy for Differential Privacy AISTATS 2022 FLVoogd: Robust And Privacy Preserving Federated Learning ACML 2022 Foiling Training-Time Attacks on Neural Machine Translation Systems EMNLP 2022 FriendlyCore: Practical Differentially Private Aggregation ICML 2022 Gendered Language in Resumes and its Implications for Algorithmic Bias in Hiring NAACL 2022 Generating Distributional Adversarial Examples to Evade Statistical Detectors ICML 2022 Generating gender-ambiguous voices for privacy-preserving speech recognition Interspeech 2022 GradViT: Gradient Inversion of Vision Transformers CVPR 2022 Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs IJCAI 2022 Groove: Flexible Metadata-Private Messaging OSDI 2022 Hard to Forget: Poisoning Attacks on Certified Machine Unlearning AAAI 2022 Hermite Polynomial Features for Private Data Generation ICML 2022 Hibernated Backdoor: A Mutual Information Empowered Backdoor Attack to Deep Neural Networks AAAI 2022 Homomorphic Matrix Completion NeurIPS 2022 House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography NeurIPS 2022 How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022 How reparametrization trick broke differentially-private text representation learning ACL 2022 How to Steer Your Adversary: Targeted and Efficient Model Stealing Defenses with Gradient Redirection ICML 2022 How unfair is private learning? UAI 2022 Hypothesis Testing for Differentially Private Linear Regression NeurIPS 2022 Identification, Amplification and Measurement: A bridge to Gaussian Differential Privacy NeurIPS 2022 Image Disentanglement Autoencoder for Steganography Without Embedding CVPR 2022 Improved Certified Defenses against Data Poisoning with (Deterministic) Finite Aggregation ICML 2022 Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams NeurIPS 2022 Improved Regret for Differentially Private Exploration in Linear MDP ICML 2022