119 citations · 226 across the 7 of their papers we have counts for
7 papers
Robustifying Measurement-Based Congestion Control Algorithms
Zhu Yuxi, Meng Zili, Shen Yixin +2
The design methodology of congestion control algorithms (CCAs) has shifted from control-based to measurement-based in recent years. However, we find that measurement-based CCAs, al…
FERN: Leveraging Graph Attention Networks for Failure Evaluation and Robust Network Design
Chenyi Liu, Vaneet Aggarwal, Tian Lan +4
Robust network design, which aims to guarantee network availability under various failure scenarios while optimizing performance/cost objectives, has received significant attention…
A Hard Label Black-box Adversarial Attack Against Graph Neural Networks
Jiaming Mu, Binghui Wang, Qi Li +3
Graph Neural Networks (GNNs) have achieved state-of-the-art performance in various graph structure related tasks such as node classification and graph classification. However, GNNs…
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang, Jiaming Mu, Neil Zhenqiang Gong +3
Recommender systems play a crucial role in helping users to find their interested information in various web services such as Amazon, YouTube, and Google News. Various recommender…
When Machine Learning Meets Congestion Control: A Survey and Comparison
Huiling Jiang, Qing Li, Yong Jiang +4
Machine learning (ML) has seen a significant surge and uptake across many diverse applications. The high flexibility, adaptability and computing capabilities it provides extends tr…
Interpreting Deep Learning-Based Networking Systems
Zili Meng, Minhu Wang, Jiasong Bai +3
While many deep learning (DL)-based networking systems have demonstrated superior performance, the underlying Deep Neural Networks (DNNs) remain blackboxes and stay uninterpretable…
Two Dimensional Router: Design and Implementation
Shu Yang, Laizhong Cui, Xinhao Deng +5
Higher dimensional classification has attracted more attentions with increasing demands for more flexible services in the Internet. In this paper, we present the design and impleme…