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Found 5 papers, 1 papers with code
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
Graph Neural Networks (GNNs) have increasingly become an indispensable tool in learning from graph-structured data, catering to various applications including social network analysis, recommendation systems, etc.
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks
This highlights the need to design FL systems that are secure and robust against malicious participants' actions while also ensuring high utility, privacy of local data, and efficiency.
CC-Loss: Channel Correlation Loss For Image Classification
The loss function is a key component in deep learning models.
Deep Self-Supervised Representation Learning for Free-Hand Sketch
In this paper, we tackle for the first time, the problem of self-supervised representation learning for free-hand sketches.
Mobile big data analysis with machine learning
Finally, we summarize the main challenges and future development directions of mobile big data analysis.
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