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Found 11 papers, 4 papers with code
CFMW: Cross-modality Fusion Mamba for Multispectral Object Detection under Adverse Weather Conditions
Furthermore, we introduce the Cross-modality Fusion Mamba with Weather-removal (CFMW) to augment detection accuracy in adverse weather conditions.
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning
An entity can be involved in various knowledge graphs and reasoning on multiple KGs and answering complex queries on multi-source KGs is important in discovering knowledge cross graphs.
Privacy-Preserved Neural Graph Databases
Neural graph databases (NGDBs) have emerged as a powerful paradigm that combines the strengths of graph databases (GDBs) and neural networks to enable efficient storage, retrieval, and analysis of graph-structured data which can be adaptively trained with LLMs.
User Consented Federated Recommender System Against Personalized Attribute Inference Attack
However, the recommendation model learned by a common FedRec may still be vulnerable to private information leakage risks, particularly attribute inference attacks, which means that the attacker can easily infer users' personal attributes from the learned model.
P-Bench: A Multi-level Privacy Evaluation Benchmark for Language Models
Lastly, P-Bench performs existing privacy attacks on LMs with pre-defined privacy objectives as the empirical evaluation results.
Privacy in Large Language Models: Attacks, Defenses and Future Directions
The advancement of large language models (LLMs) has significantly enhanced the ability to effectively tackle various downstream NLP tasks and unify these tasks into generative pipelines.
Independent Distribution Regularization for Private Graph Embedding
Additionally, we introduce a novel regularization to enforce the independence of the encoders.
Universal adaptive optics for microscopy through embedded neural network control
Unlike previous ML methods, we used a bespoke neural network (NN) architecture, designed using physical understanding of image formation, that was embedded in the control loop of the microscope.
SOUP: Spatial-Temporal Demand Forecasting and Competitive Supply
In this setting, an assignment authority is to assign agents to requests such that the average idle time of the agents is minimized.
Databases Signal Processing
Practical sensorless aberration estimation for 3D microscopy with deep learning
Additionally, we study the predictability of individual aberrations with respect to their data requirements and find that the symmetry of the wavefront plays a crucial role.
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
We highlight a practical yet rarely discussed problem in dialogue state tracking (DST), namely handling unknown slot values.
