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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

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Posts

Future Blog Post

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Future Blog Post

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Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 4

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption

Published in IEEE SNPD 2019

Kai Fan, Chaoyu Zhang, Ruiwen Shan, Hexuan Yu and Hai Jiang.

Recommended citation: Kai Fan, Chaoyu Zhang, Ruiwen Shan, Hexuan Yu and Hai Jiang. "GPU Acceleration of Ciphertext-Policy Attribute-Based Encryption." IEEE SNPD 2019.

Optimization of GPU Kernels for Sparse Matrix Computations in Hypre

Published in SC 2019

Chaoyu Zhang, Ruipeng Li, Hai Jiang. Poster.

Recommended citation: Chaoyu Zhang, Ruipeng Li, Hai Jiang. "Optimization of GPU Kernels for Sparse Matrix Computations in Hypre." SC 2019 (Poster).

High-Performance and Energy-Efficient FPGA-GPU-CPU Heterogeneous System Implementation

Published in PDPTA 2020

Chaoyu Zhang, Hexuan Yu, Yuchen Zhou, Hai Jiang.

Recommended citation: Chaoyu Zhang, Hexuan Yu, Yuchen Zhou, Hai Jiang. "High-Performance and Energy-Efficient FPGA-GPU-CPU Heterogeneous System Implementation." PDPTA 2020.

A FPGA-based Heterogeneous Implementation of NTRUEncrypt

Published in PDPTA 2020

Hexuan Yu, Chaoyu Zhang, Hai Jiang.

Recommended citation: Hexuan Yu, Chaoyu Zhang, Hai Jiang. "A FPGA-based Heterogeneous Implementation of NTRUEncrypt." PDPTA 2020.

Efficient parallel implementations of sparse triangular solves for GPU architectures

Published in SIAM PP 2020

Ruipeng Li, Chaoyu Zhang.

Recommended citation: Ruipeng Li, Chaoyu Zhang. "Efficient parallel implementations of sparse triangular solves for GPU architectures." SIAM PP 2020.

Bijack: Breaking Bitcoin Network with TCP Vulnerabilities

Published in ESORICS 2023

Shaoyu Li, Shanghao Shi, Yang Xiao, Chaoyu Zhang, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Shaoyu Li, Shanghao Shi, Yang Xiao, Chaoyu Zhang, Y. Thomas Hou, Wenjing Lou. "Bijack: Breaking Bitcoin Network with TCP Vulnerabilities." ESORICS 2023.

MINDFL: Mitigating the Impact of Imbalanced and Noisy-Labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection

Published in IEEE MILCOM 2023

Chaoyu Zhang, Ning Wang, Shanghao Shi, Changlai Du, Wenjing Lou, Y. Thomas Hou.

Recommended citation: Chaoyu Zhang, Ning Wang, Shanghao Shi, Changlai Du, Wenjing Lou, Y. Thomas Hou. "MINDFL: Mitigating the Impact of Imbalanced and Noisy-Labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection." IEEE MILCOM 2023.

ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models

Published in IEEE CNS 2024

Heng Jin, Chaoyu Zhang, Shanghao Shi, Thomas Hou, Wenjing Lou. Best Paper Award, CNS 2024.

Recommended citation: Heng Jin, Chaoyu Zhang, Shanghao Shi, Thomas Hou, Wenjing Lou. "ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models." IEEE CNS 2024.

Hermes: Boosting the Performance of Machine-Learning-based Intrusion Detection System through Geometric Feature Learning

Published in ACM MobiHoc 2024

Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, L. Zheng, R. Marchany, M. Gardner, Wenjing Lou, Y. Thomas Hou.

Recommended citation: Chaoyu Zhang, Shanghao Shi, Ning Wang, Xiangxiang Xu, Shaoyu Li, L. Zheng, R. Marchany, M. Gardner, Wenjing Lou, Y. Thomas Hou. "Hermes: Boosting the Performance of Machine-Learning-based Intrusion Detection System through Geometric Feature Learning." ACM MobiHoc 2024.

Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction

Published in NDSS 2025

Shanghao Shi, Ning Wang, Y. Xiao, Chaoyu Zhang, Y. Shi, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Shanghao Shi, Ning Wang, Y. Xiao, Chaoyu Zhang, Y. Shi, Y. Thomas Hou, Wenjing Lou. "Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction." NDSS 2025.

FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations

Published in IEEE TDSC

Ning Wang, Chaoyu Zhang, Y. Xiao, Y. Chen, Wenjing Lou, Y. Thomas Hou.

Recommended citation: Ning Wang, Chaoyu Zhang, Y. Xiao, Y. Chen, Wenjing Lou, Y. Thomas Hou. "FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations." IEEE TDSC.

MedLeak: Harvesting Multimodal Medical Data in Secure Federated Learning with Crafted Models

Published in IEEE/ACM CHASE 2025

Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Marius Linguraru, Chaoyu Zhang, Y. Thomas Hou, Syed Anwar, and Wenjing Lou.

Recommended citation: Shanghao Shi, Md Shahedul Haque, Abhijeet Parida, Marius Linguraru, Chaoyu Zhang, Y. Thomas Hou, Syed Anwar, and Wenjing Lou. "MedLeak: Harvesting Multimodal Medical Data in Secure Federated Learning with Crafted Models." IEEE/ACM CHASE 2025.

StarCast: Securing Multicast Communications in LEO Satellite Networks

Published in IEEE DySPAN 2025

Chaoyu Zhang, Hexuan Yu, Shanghao Shi, Shaoyu Li, Yi Shi, Eric Burger, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Chaoyu Zhang, Hexuan Yu, Shanghao Shi, Shaoyu Li, Yi Shi, Eric Burger, Y. Thomas Hou, Wenjing Lou. "StarCast: Securing Multicast Communications in LEO Satellite Networks." IEEE DySPAN 2025.

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats

Published in IEEE MILCOM 2025

Chaoyu Zhang, Heng Jin, Shanghao Shi, Hexuan Yu, Sydney Johns, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Chaoyu Zhang, Heng Jin, Shanghao Shi, Hexuan Yu, Sydney Johns, Y. Thomas Hou, Wenjing Lou. "Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats." IEEE MILCOM 2025.

AnonyCall: Enabling Native Private Calling in Mobile Networks

Published in NDSS 2026

Hexuan Yu, Chaoyu Zhang, Yang Xiao, Angelos D. Keromytis, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Hexuan Yu, Chaoyu Zhang, Yang Xiao, Angelos D. Keromytis, Y. Thomas Hou, Wenjing Lou. "AnonyCall: Enabling Native Private Calling in Mobile Networks." NDSS 2026.

Machine Learning-Based Intrusion Detection Systems: Capabilities, Methodologies, and Open Research Challenges

Published in AI for Cybersecurity: Research and Practice (IEEE Press-Wiley)

Chaoyu Zhang, Ning Wang, Y. Thomas Hou, Wenjing Lou.

Recommended citation: Chaoyu Zhang, Ning Wang, Y. Thomas Hou, Wenjing Lou. "Machine Learning-Based Intrusion Detection Systems: Capabilities, Methodologies, and Open Research Challenges." In AI for Cybersecurity: Research and Practice. IEEE Press-Wiley, 2025. [PDF]

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teaching