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Found 7 papers, 1 papers with code
RAW: A Robust and Agile Plug-and-Play Watermark Framework for AI-Generated Images with Provable Guarantees
Subsequently, we employ a classifier that is jointly trained with the watermark to detect the presence of the watermark.
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
The growing dependence on machine learning in real-world applications emphasizes the importance of understanding and ensuring its safety.
Welfare and Fairness Dynamics in Federated Learning: A Client Selection Perspective
However, the economic considerations of the clients, such as fairness and incentive, are yet to be fully explored.
Distribution-Invariant Differential Privacy
This phenomenon is known as the trade-off between privacy protection and statistical accuracy.
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
Due to accessible big data collections from consumers, products, and stores, advanced sales forecasting capabilities have drawn great attention from many companies especially in the retail business because of its importance in decision making.
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
This work is motivated by multimodality breast cancer imaging data, which is quite challenging in that the signals of discrete tumor-associated microvesicles (TMVs) are randomly distributed with heterogeneous patterns.
Multilayer tensor factorization with applications to recommender systems
Recommender systems have been widely adopted by electronic commerce and entertainment industries for individualized prediction and recommendation, which benefit consumers and improve business intelligence.
