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Found 6 papers, 3 papers with code
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency
To this end, Argos first amplifies the discrepancies between the visual content of an image and its misclassified label induced by the attack using a set of regeneration mechanisms and then identifies an image as adversarial if the reproduced views deviate to a preset degree.
A Distributed Fair Machine Learning Framework with Private Demographic Data Protection
In this paper, we propose a distributed fair learning framework for protecting the privacy of demographic data.
Fair Kernel Regression via Fair Feature Embedding in Kernel Space
In this paper, we propose a new fair kernel regression method via fair feature embedding (FKR-F$^2$E) in kernel space.
Discriminatory Transfer
We observe standard transfer learning can improve prediction accuracies of target tasks at the cost of lowering their prediction fairness -- a phenomenon we named discriminatory transfer.
On the Unreported-Profile-is-Negative Assumption for Predictive Cheminformatics
In cheminformatics, compound-target binding profiles has been a main source of data for research.
Learning Social Circles in Ego Networks based on Multi-View Social Graphs
Based on extensive automatic and manual experimental evaluations, we deliver two major findings: first, multi-view clustering techniques perform better than common single-view clustering techniques, which only use one view or naively integrate all views for detection, second, the standard multi-view clustering technique is less robust than our modified technique, which selectively transfers information across views based on an assumption that sparse network structures are (potentially) incomplete.
