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Detecting Shared Data Manipulation in Distributed Optimization Algorithms
We evaluate the detection conditions' performance on three data manipulation strategies we previously proposed: simple, feedback, and bilevel optimization attacks.
Data-Efficient Graph Embedding Learning for PCB Component Detection
This paper presents a challenging computer vision task, namely the detection of generic components on a PCB, and a novel set of deep-learning methods that are able to jointly leverage the appearance of individual components and the propagation of information across the structure of the board to accurately detect and identify various types of components on a PCB.
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