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05/16/2023
HiNoVa: A Novel Open-Set Detection Method for Automating RF Device Authentication
New capabilities in wireless network security have been enabled by deep ...
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01/29/2023
ADL-ID: Adversarial Disentanglement Learning for Wireless Device Fingerprinting Temporal Domain Adaptation
As the journey of 5G standardization is coming to an end, academia and i...
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09/02/2022
Tweak: Towards Portable Deep Learning Models for Domain-Agnostic LoRa Device Authentication
Deep learning based device fingerprinting has emerged as a key method of...
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02/20/2022
An Analysis of Complex-Valued CNNs for RF Data-Driven Wireless Device Classification
Recent deep neural network-based device classification studies show that...
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08/18/2021
Contrastive Identification of Covariate Shift in Image Data
Identifying covariate shift is crucial for making machine learning syste...
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01/29/2021
Counterfactual State Explanations for Reinforcement Learning Agents via Generative Deep Learning
Counterfactual explanations, which deal with "why not?" scenarios, can p...
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09/27/2019
Counterfactual States for Atari Agents via Generative Deep Learning
Although deep reinforcement learning agents have produced impressive res...
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08/30/2017
Incorporating Feedback into Tree-based Anomaly Detection
Anomaly detectors are often used to produce a ranked list of statistical...
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03/03/2015
A Meta-Analysis of the Anomaly Detection Problem
This article provides a thorough meta-analysis of the anomaly detection ...
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02/28/2015
Sequential Feature Explanations for Anomaly Detection
In many applications, an anomaly detection system presents the most anom...
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07/11/2012
