2022-12-31: Paper Summary: "Beyond Classifiers: Remote Sensing Change Detection with Metric Learning" Zhang et al.
Semantic mapping of changes between images using Triplet Loss Metric Learning, Fig 8. from Zhang et al . I talked about two kinds of trust in my previous two posts, Evaluating Trust in User-Data Networks: What Can We Learn from Waze? and Trust Management in Multi-Agent Systems via Deep Reinforcement Learning . In the former, we looked at trust as a measure of the accuracy of data provided by user and in the latter we looked at evaluating the behavior of the user to measure out trust in that particular user. The difference is subtle but apparent - a user with trustworthy historical behavior consistently provides accurate data. Conversely, one who provides data with inconsistent accuracy can be considered as being a qualitatively inferior data provider with measurably lower trust. This implies an exploitable attack vector, however. If we award implicit trust based on historical behavior, what happens when a historically trustworthy user suddenly provides the system with ...
