220 citations · 326 across the 9 of their papers we have counts for
9 papers
FlowletFormer: Network Behavioral Semantic Aware Pre-training Model for Traffic Classification
Liming Liu, Ruoyu Li, Qing Li +3
Network traffic classification using pre-training models has shown promising results, but existing methods struggle to capture packet structural characteristics, flow-level behavio…
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…
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
Chuanpu Fu, Qi Li, Meng Shen +1
Machine learning (ML) based malicious traffic detection is an emerging security paradigm, particularly for zero-day attack detection, which is complementary to existing rule based…
Detecting Localized Adversarial Examples: A Generic Approach using Critical Region Analysis
Fengting Li, Xuankai Liu, Xiaoli Zhang +3
Deep neural networks (DNNs) have been applied in a wide range of applications,e.g.,face recognition and image classification; however,they are vulnerable to adversarial examples. B…
Robust Attacks on Deep Learning Face Recognition in the Physical World
Meng Shen, Hao Yu, Liehuang Zhu +3
Deep neural networks (DNNs) have been increasingly used in face recognition (FR) systems. Recent studies, however, show that DNNs are vulnerable to adversarial examples, which can…
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
Shu Wang, Jiahao Cao, Xu He +2
Automatic speech recognition (ASR) systems have been widely deployed in modern smart devices to provide convenient and diverse voice-controlled services. Since ASR systems are vuln…
Off-Path TCP Exploits of the Mixed IPID Assignment
Xuewei Feng, Chuanpu Fu, Qi Li +2
In this paper, we uncover a new off-path TCP hijacking attack that can be used to terminate victim TCP connections or inject forged data into victim TCP connections by manipulating…
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu, Fengting Li, Bihan Wen +1
Deep neural networks have been widely applied and achieved great success in various fields. As training deep models usually consumes massive data and computational resources, tradi…
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…