Showing 1–18 of 18 results
/ Date/ Name
May 3, 2018SdcNet: A Computation-Efficient CNN for Object RecognitionApr 30, 2026Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code BackdoorsDec 25, 2023A Split-and-Privatize Framework for Large Language Model Fine-TuningDec 16, 2024Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series ForecastingMar 19, 2025OFL: Opportunistic Federated Learning for Resource-Heterogeneous and Privacy-Aware DevicesJun 26, 2025SPA: Towards More Stealth and Persistent Backdoor Attacks in Federated LearningSep 5, 2025On Evaluating the Poisoning Robustness of Federated Learning under Local Differential PrivacyMar 2, 2026Towards Privacy-Preserving LLM Inference via Covariant Obfuscation (Technical Report)Feb 21, 2020Towards Fast Evaluation of Unsupervised Link Prediction by Random Sampling Unobserved LinksApr 14, 2021Automated Allocation of Detention Rooms Based on Inverse Graph PartitioningJun 2, 2023Synchro-Transient-Extracting Transform for the Analysis of Signals with Both Harmonic and Impulsive ComponentsApr 10, 2025Agent That Debugs: Dynamic State-Guided Vulnerability RepairAug 21, 2025A Multi-Memory Segment System for Generating High-Quality Long-Term Memory Content in AgentsJul 23, 2022FastATDC: Fast Anomalous Trajectory Detection and ClassificationApr 19, 2023Secure Split Learning against Property Inference, Data Reconstruction, and Feature Space Hijacking AttacksMay 27, 2024LabObf: A Label Protection Scheme for Vertical Federated Learning Through Label ObfuscationMar 4, 2025NodeNAS: Node-Specific Graph Neural Architecture Search for Out-of-Distribution GeneralizationNov 12, 2025R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models