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08/22/2023
Multi-Instance Adversarial Attack on GNN-Based Malicious Domain Detection
Malicious domain detection (MDD) is an open security challenge that aims...
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03/24/2023
IMA-GNN: In-Memory Acceleration of Centralized and Decentralized Graph Neural Networks at the Edge
In this paper, we propose IMA-GNN as an In-Memory Accelerator for centra...
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02/28/2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Accurate and timely prediction of transportation demand and supply is es...
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11/10/2022
Heterogeneous Randomized Response for Differential Privacy in Graph Neural Networks
Graph neural networks (GNNs) are susceptible to privacy inference attack...
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09/05/2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Trojan backdoor is a poisoning attack against Neural Network (NN) classi...
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01/18/2022
Model Transferring Attacks to Backdoor HyperNetwork in Personalized Federated Learning
This paper explores previously unknown backdoor risks in HyperNet-based ...
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10/26/2021
Adversarial Attacks and Defenses for Social Network Text Processing Applications: Techniques, Challenges and Future Research Directions
The growing use of social media has led to the development of several Ma...
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09/07/2021
Smart Traffic Monitoring System using Computer Vision and Edge Computing
Traffic management systems capture tremendous video data and leverage ad...
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09/03/2021
A Synergetic Attack against Neural Network Classifiers combining Backdoor and Adversarial Examples
In this work, we show how to jointly exploit adversarial perturbation an...
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07/11/2020
ManiGen: A Manifold Aided Black-box Generator of Adversarial Examples
Machine learning models, especially neural network (NN) classifiers, hav...
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02/22/2020
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples
Adversarial examples have become one of the largest challenges that mach...
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06/27/2019
Using Intuition from Empirical Properties to Simplify Adversarial Training Defense
Due to the surprisingly good representation power of complex distributio...
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04/17/2019
ZK-GanDef: A GAN based Zero Knowledge Adversarial Training Defense for Neural Networks
Neural Network classifiers have been used successfully in a wide range o...
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03/06/2019
GanDef: A GAN based Adversarial Training Defense for Neural Network Classifier
Machine learning models, especially neural network (NN) classifiers, are...
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07/03/2018
Hierarchical Capacity Provisioning for Fog Computing
The concept of fog computing is centered around providing computation re...
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06/13/2018
A Hybrid RF-VLC System for Energy Efficient Wireless Access
In this paper, we propose a new paradigm in designing and realizing ener...
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04/19/2018
Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
The use of unmanned aerial vehicles (UAVs) is growing rapidly across man...
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04/06/2018
Optimal Placement of a UAV to Maximize the Lifetime of Wireless Devices
Unmanned aerial vehicles (UAVs) can be used as aerial wireless base stat...
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03/07/2017