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Found 3 papers, 3 papers with code
Manipulating Feature Visualizations with Gradient Slingshots
Deep Neural Networks (DNNs) are capable of learning complex and versatile representations, however, the semantic nature of the learned concepts remains unknown.
Machine Unlearning of Features and Labels
In this paper, we propose the first method for unlearning features and labels.
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification
Consequently, adversaries will also target the learning system and use evasion attacks to bypass the detection of malware.
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