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02/18/2022
Resurrecting Trust in Facial Recognition: Mitigating Backdoor Attacks in Face Recognition to Prevent Potential Privacy Breaches
Biometric data, such as face images, are often associated with sensitive...
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02/12/2022
Local Differential Privacy for Federated Learning in Industrial Settings
Federated learning (FL) is a collaborative learning approach that has ga...
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12/20/2021
Systematic Literature Review on Cyber Situational Awareness Visualizations
The dynamics of cyber threats are increasingly complex, making it more c...
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05/10/2021
Robust Training Using Natural Transformation
Previous robustness approaches for deep learning models such as data aug...
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05/03/2021
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning
The diversity and quantity of the data warehousing, gathering data from ...
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06/17/2020
Adversarial Defense by Latent Style Transformations
Machine learning models have demonstrated vulnerability to adversarial a...
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02/03/2020
Defending Adversarial Attacks via Semantic Feature Manipulation
Machine learning models have demonstrated vulnerability to adversarial a...
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01/18/2020
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning
Anomaly detection aims to recognize samples with anomalous and unusual p...
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01/10/2020
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models
Transfer learning, that transfer the learned knowledge of pre-trained Te...
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01/06/2020
Generating Semantic Adversarial Examples via Feature Manipulation
The vulnerability of deep neural networks to adversarial attacks has bee...
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09/28/2018
A model for system developers to measure the privacy risk of data
In this paper, we propose a model that could be used by system developer...
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09/24/2018
Security and Performance Considerations in ROS 2: A Balancing Act
Robot Operating System (ROS) 2 is a ground-up re-design of ROS 1 to supp...
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05/18/2018
