7 citations · 15 across the 6 of their papers we have counts for
12 papers
IWA: Integrated Gradient based White-box Attacks for Fooling Deep Neural Networks
Yixiang Wang, Jiqiang Liu, Xiaolin Chang +2
The widespread application of deep neural network (DNN) techniques is being challenged by adversarial examples, the legitimate input added with imperceptible and well-designed pert…
Generalizing Adversarial Examples by AdaBelief Optimizer
Yixiang Wang, Jiqiang Liu, Xiaolin Chang
Recent research has proved that deep neural networks (DNNs) are vulnerable to adversarial examples, the legitimate input added with imperceptible and well-designed perturbations ca…
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
Dan Su, Jiqiang Liu, Sencun Zhu +2
The home voice assistants such as Amazon Alexa have become increasingly popular due to many interesting voice-activated services provided through special applications called skills…
NF-Crowd: Nearly-free Blockchain-based Crowdsourcing
Chao Li, Balaji Palanisamy, Runhua Xu +2
Advancements in distributed ledger technologies are rapidly driving the rise of decentralized crowdsourcing systems on top of open smart contract platforms like Ethereum. While dec…
Private Rank Aggregation under Local Differential Privacy
Ziqi Yan, Gang Li, Jiqiang Liu
As a method for answer aggregation in crowdsourced data management, rank aggregation aims to combine different agents' answers or preferences over the given alternatives into an ag…
Bidirectional RNN-based Few-shot Training for Detecting Multi-stage Attack
Di Zhao, Jiqiang Liu, Jialin Wang +4
"Feint Attack", as a new type of APT attack, has become the focus of attention. It adopts a multi-stage attacks mode which can be concluded as a combination of virtual attacks and…