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Found 6 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.
Evil from Within: Machine Learning Backdoors through Hardware Trojans
In this paper, we challenge this assumption and introduce a backdoor attack that completely resides within a common hardware accelerator for machine learning.
Machine Unlearning of Features and Labels
In this paper, we propose the first method for unlearning features and labels.
Dos and Don'ts of Machine Learning in Computer Security
With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many different areas.
Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform
In this paper, a real-time signal processing frame-work based on a 60 GHz frequency-modulated continuous wave (FMCW) radar system to recognize gestures is proposed.
Evaluating Explanation Methods for Deep Learning in Security
Deep learning is increasingly used as a building block of security systems.
