6 citations · 19 across the 14 of their papers we have counts for
14 papers
Understanding the Security Boundary of Obfuscation-based On-Device LLM Protection
Hanyi Zhou, Chenyang Li, Yuanzhe Pang +3
Trusted Execution Environments (TEEs) offer a promising mechanism for safeguarding the intellectual property of on-device Large Language Models (LLMs). To overcome the inherent com…
UVMarvel: an Automated LLM-aided UVM Machine for Subsystem-level RTL Verification
Junhao Ye, Dingrong Pan, Hanyuan Liu +7
Verification presents a major bottleneck in Integrated Circuit (IC) development, consuming nearly 70% of total effort. While the Universal Verification Methodology (UVM) improves r…
AFL-ICP: Enhancing Industrial Control Protocol Reliability via Specification-Guided Fuzzing
Jiaying Meng, Xuewei Feng, Qi Li +2
Industrial Control Protocols (ICPs) are critical to the reliability and stability of industrial infrastructure, yet their security is fundamentally compromised by a specification-b…
Automating Agent Hijacking via Structural Template Injection
Xinhao Deng, Jiaqing Wu, Miao Chen +3
Agent hijacking, highlighted by OWASP as a critical threat to the Large Language Model (LLM) ecosystem, enables adversaries to manipulate execution by injecting malicious instructi…
Blind Gods and Broken Screens: Architecting a Secure, Intent-Centric Mobile Agent Operating System
Zhenhua Zou, Sheng Guo, Qiuyang Zhan +6
The evolution of Large Language Models (LLMs) has shifted mobile computing from App-centric interactions to system-level autonomous agents. Current implementations predominantly re…
Text2Mem: A Unified Memory Operation Language for Memory Operating System
Yi Wang, Lihai Yang, Boyu Chen +6
Large language model agents increasingly depend on memory to sustain long horizon interaction, but existing frameworks remain limited. Most expose only a few basic primitives such…
Pegasus: A Universal Framework for Scalable Deep Learning Inference on the Dataplane
Yinchao Zhang, Su Yao, Yong Feng +9
The paradigm of Intelligent DataPlane (IDP) embeds deep learning (DL) models on the network dataplane to enable intelligent traffic analysis at line-speed. However, the current use…
Exploiting Sequence Number Leakage: TCP Hijacking in NAT-Enabled Wi-Fi Networks
Yuxiang Yang, Xuewei Feng, Qi Li +3
In this paper, we uncover a new side-channel vulnerability in the widely used NAT port preservation strategy and an insufficient reverse path validation strategy of Wi-Fi routers,…
From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices
Yue Xiao, Yi He, Xiaoli Zhang +5
The proliferation of consumer IoT products in our daily lives has raised the need for secure device authentication and access control. Unfortunately, these resource-constrained dev…
Pencil: Private and Extensible Collaborative Learning without the Non-Colluding Assumption
Xuanqi Liu, Zhuotao Liu, Qi Li +2
The escalating focus on data privacy poses significant challenges for collaborative neural network training, where data ownership and model training/deployment responsibilities res…
Brain-on-Switch: Towards Advanced Intelligent Network Data Plane via NN-Driven Traffic Analysis at Line-Speed
Jinzhu Yan, Haotian Xu, Zhuotao Liu +4
The emerging programmable networks sparked significant research on Intelligent Network Data Plane (INDP), which achieves learning-based traffic analysis at line-speed. Prior art in…
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Qi Tan, Qi Li, Yi Zhao +3
Federated Learning (FL) trains a black-box and high-dimensional model among different clients by exchanging parameters instead of direct data sharing, which mitigates the privacy l…
Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System
Yihao Chen, Qilei Yin, Qi Li +6
BGP is the de facto inter-domain routing protocol to ensure global connectivity of the Internet. However, various reasons, such as deliberate attacks or misconfigurations, could ca…
Off-Path TCP Hijacking in Wi-Fi Networks: A Packet-Size Side Channel Attack
Ziqiang Wang, Xuewei Feng, Qi Li +6
In this paper, we unveil a fundamental side channel in Wi-Fi networks, specifically the observable frame size, which can be exploited by attackers to conduct TCP hijacking attacks.…