Showing 1–20 of 34 results
/ Date/ Name
May 9, 2022ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated LearningMar 13, 2023Model Extraction Attacks on Split Federated LearningJan 31, 2023Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel DescriptorsJul 22, 2024Stretching Each Dollar: Diffusion Training from Scratch on a Micro-BudgetMar 27, 2025HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing ImageryJan 20, 2021RADAR: Run-time Adversarial Weight Attack Detection and Accuracy RecoveryMar 28, 2024Is Synthetic Image Useful for Transfer Learning? An Investigation into Data Generation, Volume, and UtilizationOct 4, 2022Split Federated Learning on Micro-controllers: A Keyword Spotting ShowcaseJul 20, 2021NeurObfuscator: A Full-stack Obfuscation Tool to Mitigate Neural Architecture StealingSep 9, 2024AnomalyCD: A benchmark for Earth anomaly change detection with high-resolution and time-series observationsMar 22, 2023One-Step Detection Paradigm for Hyperspectral Anomaly Detection via Spectral Deviation Relationship LearningAug 18, 2022An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud DataJul 20, 2021Communication and Computation Reduction for Split Learning using Asynchronous TrainingOct 11, 2023Learning a Cross-modality Anomaly Detector for Remote Sensing ImageryJun 27, 2023When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future DirectionsAug 29, 2023Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing ImageryFeb 21, 2025HOpenCls: Training Hyperspectral Image Open-Set Classifiers in Their Living EnvironmentsNov 7, 2025MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA LanguagesMar 11, 2026UniCompress: Token Compression for Unified Vision-Language Understanding and GenerationJul 24, 2020T-BFA: Targeted Bit-Flip Adversarial Weight Attack