SePAL, Security and Privacy Analytics Laboratory

SePAL

Publications

Peer-reviewed research from the lab and its members, organized by year.

2026

ACM CCS 2026

Learning Less While Asking More: How LLM-Based Assistance Shapes Vulnerability Learning

Baojuan Wang, Yifan Yao, Yue Zhang, Zhibo (Eric) Sun

2025

Vehicular Communications 2025

MIEC: A Magnetism-Inspired Framework for MS Deployment and Joint Task Offloading and Resource Allocation Optimization in LMREC

Mingyu Zhang, Zhibo (Eric) Sun, Fengjie Li, Hong Zhang

Computer Networks 2025

AntidoteFL: Enhancing Defense Against Poisoning Attacks in Federated Learning

Yilong Liu, Hong Zhang, Miao Wang, Qiqi Xie, Zhibo (Eric) Sun

2024

IEEE ISPA 2024

Privacy-Enhanced Federated Learning Through Homomorphic Encryption With Cloud Federation

Qiqi Xie, Hong Zhang, Miao Wang, Zhibo (Eric) Sun, Wanqing Wu

2023

2022

IEEE S&P Magazine 2022

CrawlPhish: Large-Scale Analysis of Client-Side Cloaking Techniques in Phishing

Penghui Zhang, Adam Oest, Haehyun Cho, Zhibo (Eric) Sun, RC Johnson, Brad Wardman, Shaown Sarker, Alexandros Kapravelos, Tiffany Bao, Ruoyu Wang, Yan Shoshitaishvili, Adam Doupé, Gail-Joon Ahn

IEEE Access 2022

RTIDS: A Robust Transformer-Based Approach for Intrusion Detection System

Zihan Wu, Hong Zhang, Penghai Wang, Zhibo (Eric) Sun

2021

2020