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activation-analysis

Here are 4 public repositories matching this topic...

Fraunhofer-AISEC / A3

Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activ…

data-mining paper semi-supervised-learning anomaly anomaly-detection tensorflow2 ecml-pkdd activation-analysis activation-anomaly-analysis

Updated May 26, 2022
Python

r4dl / nerfinternals

Code for "Analyzing the Internals of Neural Radiance Fields". A method for obtaining a density estimate from underlying MLP activations.

nerf neural-rendering activation-analysis neural-representation

Updated Apr 10, 2024
Python

Fraunhofer-AISEC / DA3D

Double-Adversarial Activation Anomaly Detection

data-mining paper keras generative-adversarial-network unsupervised-learning it-security anomaly-detection tensorflow2 ijcnn activation-analysis activation-anomaly-analysis

Updated Oct 13, 2022
Python

Fraunhofer-AISEC / ARGUE

Anomaly Detection by Recombining Gated Unsupervised Experts

data-mining deep-learning paper keras semi-supervised-learning unsupervised-learning it-security anomaly-detection mixture-of-experts tensorflow2 ijcnn activation-analysis activation-anomaly-analysis

Updated Oct 13, 2022
Python

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