Privacy

Active Membership Inference Attack under Local Differential Privacy in Federated Learning AISTATS 2023 A Customized Text Sanitization Mechanism with Differential Privacy ACL 2023 Adaptive Data Analysis in a Balanced Adversarial Model NeurIPS 2023 Adaptive False Discovery Rate Control with Privacy Guarantee JMLR 2023 Adaptive Image Anonymization in the Context of Image Classification with Neural Networks ICCV 2023 Adaptive Privacy Composition for Accuracy-first Mechanisms NeurIPS 2023 Addax: A fast, private, and accountable ad exchange infrastructure NSDI 2023 Adversarially Robust Distributed Count Tracking via Partial Differential Privacy NeurIPS 2023 Adversarial Parameter Attack on Deep Neural Networks ICML 2023 A Federated Approach for Hate Speech Detection EACL 2023 A First Look into the Carbon Footprint of Federated Learning JMLR 2023 AI-Driven Sign Language Interpretation for Nigerian Children at Home IJCAI 2023 Algorithmically Effective Differentially Private Synthetic Data COLT 2023 (Amplified) Banded Matrix Factorization: A unified approach to private training NeurIPS 2023 Analyzing Privacy Leakage in Machine Learning via Multiple Hypothesis Testing: A Lesson From Fano ICML 2023 An Extensible Orchestration and Protection Framework for Confidential Cloud Computing OSDI 2023 An NLP Benchmark Dataset for Assessing Corporate Climate Policy Engagement NeurIPS 2023 Anonymization for Skeleton Action Recognition AAAI 2023 Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization NeurIPS 2023 An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions NeurIPS 2023 Anti-DreamBooth: Protecting Users from Personalized Text-to-image Synthesis ICCV 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 A Privacy-Friendly Approach to Data Valuation NeurIPS 2023 A Randomized Approach to Tight Privacy Accounting NeurIPS 2023 Are Diffusion Models Vulnerable to Membership Inference Attacks? ICML 2023