12 citations · 40 across the 12 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…
Adaptive Quantum Image Encryption Method Based on Wavelet Transform
Jian Wang, Yacong Geng, Jiqiang Liu
An adaptive quantum image encryption method based on wavelet transform is designed. Since the characteristic of most information is centralized in the low frequency part after perf…
A Training-based Identification Approach to VIN Adversarial Examples
Yingdi Wang, Wenjia Niu, Tong Chen +4
With the rapid development of Artificial Intelligence (AI), the problem of AI security has gradually emerged. Most existing machine learning algorithms may be attacked by adversari…
Intrusion Prediction with System-call Sequence-to-Sequence Model
ShaoHua Lv, Jian Wang, YinQi Yang +1
The advanced development of the Internet facilitates efficient information exchange while also been exploited by adversaries. Intrusion detection system (IDS) as an important defen…
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Tong Chen, Wenjia Niu, Yingxiao Xiang +4
As adversarial attacks pose a serious threat to the security of AI system in practice, such attacks have been extensively studied in the context of computer vision applications. Ho…
Discovering Communities of Malapps on Android-based Mobile Cyber-physical Systems
Dan Su, Jiqiang Liu, Wei Wang +3
Android-based devices like smartphones have become ideal mobile cyber-physical systems (MCPS) due to their powerful processors and variety of sensors. In recent years, an explosive…
PrivMin: Differentially Private MinHash for Jaccard Similarity Computation
Ziqi Yan, Jiqiang Liu, Gang Li +2
In many industrial applications of big data, the Jaccard Similarity Computation has been widely used to measure the distance between two profiles or sets respectively owned by two…