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20212023
most citedAdversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

19 citations · 38 across the 5 of their papers we have counts for

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5 papers

cs.CR2023★ 1 cited

New Adversarial Image Detection Based on Sentiment Analysis

Yulong Wang, Tianxiang Li, Shenghong Li +2

Deep Neural Networks (DNNs) are vulnerable to adversarial examples, while adversarial attack models, e.g., DeepFool, are on the rise and outrunning adversarial example detection te…

cs.LG2023★ 19 cited

Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey

Yulong Wang, Tong Sun, Shenghong Li +4

Adversarial attacks and defenses in machine learning and deep neural network have been gaining significant attention due to the rapidly growing applications of deep learning in the…

cs.NI2022★ 16 cited

When Internet of Things meets Metaverse: Convergence of Physical and Cyber Worlds

Kai Li, Yingping Cui, Weicai Li +6

In recent years, the Internet of Things (IoT) is studied in the context of the Metaverse to provide users immersive cyber-virtual experiences in mixed reality environments. This su…

cs.CV2022★ 2 cited

Dispersed Pixel Perturbation-based Imperceptible Backdoor Trigger for Image Classifier Models

Yulong Wang, Minghui Zhao, Shenghong Li +2

Typical deep neural network (DNN) backdoor attacks are based on triggers embedded in inputs. Existing imperceptible triggers are computationally expensive or low in attack success.…

cs.IR2021

Three-dimensional Cooperative Localization of Commercial-Off-The-Shelf Sensors

Yulong Wang, Shenghong Li, Wei Ni +4

Many location-based services use Received Signal Strength (RSS) measurements due to their universal availability. In this paper, we study the association of a large number of low-c…