Showing 21–40 of 50 results
/ Date/ Name
Mar 5, 2024DPAdapter: Improving Differentially Private Deep Learning through Noise Tolerance Pre-trainingAug 26, 2023LMSanitator: Defending Prompt-Tuning Against Task-Agnostic BackdoorsOct 24, 2023The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy RisksOct 22, 2024SoK: Dataset Copyright Auditing in Machine Learning SystemsAug 10, 2025Frequency-Aware Graph Construction and Search for Dynamic Vector DatabasesSep 24, 2025Consistent Estimation of Numerical Distributions under Local Differential Privacy by Wavelet ExpansionFeb 22, 2026KUDA: Knowledge Unlearning by Deviating Representation for Large Language ModelsOct 2, 2022PrivTrace: Differentially Private Trajectory Synthesis by Adaptive Markov ModelSep 4, 2022On the Privacy Risks of Cell-Based NAS ArchitecturesApr 14, 2022Finding MNEMON: Reviving Memories of Node EmbeddingsOct 6, 2021Inference Attacks Against Graph Neural NetworksNov 1, 2017Re-DPoctor: Real-time health data releasing with w-day differential privacyApr 17, 2025ArtistAuditor: Auditing Artist Style Pirate in Text-to-Image Generation ModelsApr 30, 2025Bilateral Differentially Private Vertical Federated Boosted Decision TreesDec 16, 2024PSGraph: Differentially Private Streaming Graph Synthesis by Considering Temporal DynamicsDec 16, 2025PrivATE: Differentially Private Average Treatment Effect Estimation for Observational DataDec 16, 2025VICTOR: Dataset Copyright Auditing in Video Recognition SystemsOct 14, 2021AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential PrivacyMay 5, 2020When Machine Unlearning Jeopardizes PrivacySep 6, 2023ORL-AUDITOR: Dataset Auditing in Offline Deep Reinforcement Learning