The Danger of Convenience: Unveiling the Explosively Amplified Security Risks Posed by Third-Party JavaScript Inclusion and Caching      Shengping Bi, Lang Zhou, Tao Wang, Tao Hou, Mingkui Wei, Zhuo Lu, Yao Liu, and Song Fang ACM Transactions on Privacy and Security (ACM TOPS), 2026

Hi-Fi Flow: Real-Time High-Granularity Flow Feature Extraction for Robust Network Monitoring     [ PDF ]  Shengping Bi, Lang Zhou, Tao Wang, and Tao Hou The 56th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (IEEE/IFIP DSN), Charlotte, USA, 2026

A Survey on Adversarial Machine Learning: Attacks, Defenses, Real-World Applications, and Future Research Directions     [ PDF ]  Yan Qiao, Nimitha Bangalore Sathyanarayana, Chaowei Shi, Zefeng He, Tao Wang, and Tao Hou Elsevier Neurocomputing, 2025

Towards the Safety of Intelligent Transportation: A Survey on the Security Challenges and Mitigations in Internet of Vehicles (IoV)     [ PDF ]  Rakesh Das, Lang Zhou, Shengping Bi, Tao Wang, and Tao Hou ACM Transactions on Sensor Networks (ACM ToSN), 2025

Machine Learning for Cybersecurity: A Survey of Applications, Adversarial Challenges, and Future Research Directions     [ PDF ]  Zefeng He, Diego Davila, Shengping Bi, Tao Wang, and Tao Hou Electronics, Switzerland, 2025

SecDINT: Preventing Data-oriented Attacks via Intel SGX Escorted Data Integrity     [ PDF ]  Dakun Shen, Tao Hou, Zhuo Lu, Yao Liu, and Tao Wang IEEE Conference on Communications and Network Security (IEEE CNS'23), Orlando, Florida, 2023

Taking a Look into the Cookie Jar: A Comprehensive Study towards the Security of Web Cookies     [ PDF ]  Sean Chen, Jaelyn McCracken, Kevin Lu, Tao Wang, and Tao Hou National Workshop for REU Research in Networking and Systems (REUNS'23), Washington DC, USA, 2023

Adaptive Feature Engineering via Attention-Based LSTM Towards High Performance Reconnaissance Attack Detection     [ PDF ]  Hamidah Alanazi, Shengping Bi, Tao Wang, and Tao Hou IEEE Military Communications Conference (IEEE MILCOM'23), Boston, Massachusetts, 2023

Exquisite Feature Selection for Machine Learning Powered Probing Attack Detection     [ PDF ]  Hamidah Alanazi, Shengping Bi, Tao Wang, and Tao Hou IEEE International Conference on Communications (IEEE ICC'23), Rome, Italy, 2023

Dynamic and Lightweight Encryption towards Data Confidentiality in Medical IoT Devices (MIoT)     [ Poster ]  Tao Hou and Tao Wang Texas State University Health Scholar Showcase (TXST HSS'23), San Marcos, Texas, 2023

MUSTER: Subverting User Selection in MU-MIMO Networks     [ PDF ]  Tao Hou, Shengping Bi, Tao Wang, Zhuo Lu, Yao Liu, Satyajayant Misra, and Yalin Sagduyu IEEE Conference on Computer Communications (IEEE INFOCOM'22), Virtual Conference, 2022

When Third-Party JavaScript Meets Cache: Explosively Amplifying Security Risks on the Internet     [ PDF ]  Tao Hou, Shengping Bi, Mingkui Wei, Tao Wang, Zhuo Lu, and Yao Liu IEEE Conference on Communications and Network Security (IEEE CNS'22), Austin, Texas, 2022

DyWCP: Dynamic and Lightweight Data-Channel Coupling towards Confidentiality in IoT Security     [ PDF ]  Shengping Bi, Tao Hou, Tao Wang, Yao Liu, Zhuo Lu, and Qingqi Pei ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec'22), San Antonio, Texas, 2022

Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication     [ PDF ]  Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, and Yalin Sagduyu ACM Workshop on Wireless Security and Machine Learning (ACM WiseML'22), San Antonio, Texas, 2022

IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification     [ PDF ]  Tao Hou, Tao Wang, Zhuo Lu, Yao Liu, and Yalin Sagduyu IEEE International Symposium on Dynamic Spectrum Access Networks (IEEE DySPAN'21), Virtual Conference, 2021

Combating Adversarial Network Topology Inference by Proactive Topology Obfuscation     [ PDF ]  Tao Hou, Tao Wang, Zhuo Lu, and Yao Liu IEEE/ACM Transactions on Networking (IEEE/ACM ToN), 2021

Binary Code Similarity Detection through LSTM and Siamese Neural Network     [ PDF ]  Zhengping Luo, Tao Hou, Xiangrong Zhou, Hui Zeng, Zhuo Lu EAI Endorsed Transactions on Security and Safety, 2021

Log Analytics in HPC: A Data-driven Reinforcement Learning Framework     [ PDF ]  Zhengping Luo, Tao Hou, Tung Thanh Nguyen, Hui Zeng and Zhuo Lu IEEE Conference on Computer Communications (IEEE INFOCOM'20) DDINS Workshop, Toronto, Canada, 2020

ProTO: Proactive Topology Obfuscation Against Adversarial Network Topology Inference     [ PDF ]  Tao Hou, Zhe Qu, Tao Wang, Zhuo Lu, and Yao Liu IEEE Conference on Computer Communications (IEEE INFOCOM'20), Toronto, Canada, 2020

I Know Your Activities Even When Data Is Encrypted: Smart Traffic Analysis via Fusion Deep Neural Network      [ PDF ]   [ Poster ]    Tao Hou, Tao Wang, Zhuo Lu, and Yao Liu Annual Computer Security Applications Conference (ACSA ACSAC'19), Poster Session, San Juan, Puerto Rico, 2019

Smart Spying via Deep Learning: Inferring Your Activities from Encrypted Wireless Traffic      [ PDF ]   [ Slides ] Tao Hou, Tao Wang, Zhuo Lu, and Yao Liu IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP'19), Ottawa, Canada, 2019 Best Paper Award

Autonomous Security Mechanisms for High-Performance Computing Systems: Review and Analysis      [ PDF ] Tao Hou, Tao Wang, Dakun Shen, Zhuo Lu, and Yao Liu Adaptive Autonomous Secure Cyber Systems, Springer, 2018

Signal Entanglement based Pinpoint Waveforming for Location-restricted Service Access Control     [ PDF ]  Tao Wang, Yao Liu, Tao Hou, Qingqi Pei, and Song Fang IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2016

Location-restricted Services Access Control Leveraging Pinpoint Waveforming     [ PDF ]   [ Video Demo ] Tao Wang, Yao Liu, Qingqi Pei, and Tao Hou ACM Conference on Computer and Communications Security (ACM CCS'15), Denver, Colorado, 2015