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Found 5 papers, 1 papers with code
A general approach to enhance the survivability of backdoor attacks by decision path coupling
One of the mainstream backdoor defenses is model reconstruction-based.
An Auction-based Marketplace for Model Trading in Federated Learning
This FL market allows clients to gain monetary reward by selling their own models and improve local model performance through the purchase of others' models.
Studying the Impact of Data Disclosure Mechanism in Recommender Systems via Simulation
Then we study users' privacy decision making under different data disclosure mechanisms and recommendation models, and how their data disclosure decisions affect the recommender system's performance.
PURE: An Uncertainty-aware Recommendation Framework for Maximizing Expected Posterior Utility of Platform
In this paper, we propose a novel recommendation framework which effectively utilizes the information of user uncertainty over different item dimensions and explicitly takes into consideration the impact of display policy on user in order to achieve maximal expected posterior utility for the platform.
Towards Digital Retina in Smart Cities: A Model Generation, Utilization and Communication Paradigm
The digital retina in smart cities is to select what the City Eye tells the City Brain, and convert the acquired visual data from front-end visual sensors to features in an intelligent sensing manner.
