Rate My Professor Hongxin Hu

Hu's research interests include emerging network technologies and security such as 5G/NextG, NFV, SDN, and edge computing; machine learning for security, privacy, and networking; AI for social good addressing online abuse, unsafe children games, and cyberbullying; and security and privacy in Internet of Things (IoT) and cyber-physical systems (CPS). He has received the NSF CAREER Award in 2019, Amazon Faculty Research Award in 2022, IEEE Big Data Security Senior Research Award in 2025, and ACM SACMAT Test-of-Time Award in 2024 for his paper "Game Theoretic Analysis of Multiparty Access Control in Online Social Networks" (SACMAT 2014). Other honors include Best Paper Awards at ACM ASIACCS 2022 for "Understanding and Detecting Remote Infection on Linux-based IoT Devices," ACSAC 2020 for "Measuring the Effectiveness of Privacy Policies for Voice Assistant Applications," IEEE ICC 2020 for "SmartChain: Enabling High-Performance Service Chain Partition between SmartNIC and CPU," ACM SIGCSE 2018, and ACM CODASPY 2014. His research is funded by NSF, USDOT, VMware, Amazon, Google, and Dell. Hu has published extensively in top venues including USENIX Security, IEEE S&P, ACM CCS, NDSS, NeurIPS, NSDI, and EMNLP. Notable publications encompass "FlowGuard: Building Robust Firewalls for Software-Defined Networks" (2014), "Poseidon: Mitigating Volumetric DDoS Attacks with Programmable Switches" (2020), and recent works such as "Semantics Over Syntax: Uncovering Pre-Authentication 5G Baseband Vulnerabilities" (USENIX Security 2026) and "Jbshield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation" (USENIX Security 2025). He serves as Associate Editor for IEEE Transactions on Dependable and Secure Computing (2020-2025) and Computers & Security (2020-2024), and has co-chaired conference tracks including ACM ASIACCS 2027 and ASONAM 2025.