Showing 1–20 of 50 results
/ Date/ Name
Jan 30, 2026Wasserstein Geometry of Information Loss in Nonlinear Dynamical SystemsOct 16, 2025Parameter Identification for Partial Differential Equation with Jump Discontinuities in Coefficients by Markov Switching Model and Physics-Informed Machine LearningNov 2, 2017REAP: An Efficient Incentive Mechanism for Reconciling Aggregation Accuracy and Individual Privacy in CrowdsensingOct 10, 2025Solving Fokker-Planck-Kolmogorov Equation by Distribution Self-adaptation Normalized Physics-informed Neural NetworksDec 30, 2020PrivSyn: Differentially Private Data SynthesisJun 24, 2021DPSyn: Experiences in the NIST Differential Privacy Data Synthesis ChallengesJul 5, 2024Machine Learning for Complex Systems with Abnormal Pattern by Exception Maximization Outlier Detection MethodDec 23, 2017LEPA: Incentivizing Long-term Privacy-preserving Data Aggregation in CrowdsensingAug 12, 2024Parameters Inference for Nonlinear Wave Equations with Markovian SwitchingJun 1, 2025Reconstruction and Prediction of Volterra Integral Equations Driven by Gaussian NoiseApr 28, 2026Residual-loss Anomaly Analysis of Physics-Informed Neural Networks: An Inverse Method for Change-point Detection in Nonlinear Dynamical Systems with Regime SwitchingJun 13, 2023Generated Graph DetectionJan 19, 2025CIBPU: A Conflict-Invisible Secure Branch Prediction UnitSep 17, 2025Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine UnlearningOct 18, 2023InferDPT: Privacy-Preserving Inference for Closed-box Large Language ModelSep 10, 2020Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer LearningMar 27, 2021Graph UnlearningApr 17, 2024Real-Time Trajectory Synthesis with Local Differential PrivacyFeb 13, 2023LDPTrace: Locally Differentially Private Trajectory SynthesisApr 5, 2023FACE-AUDITOR: Data Auditing in Facial Recognition Systems