Rate My Professor Hongxin Hu

Hongxin Hu has received numerous awards and honors, including the NSF CAREER Award in 2019, Amazon Research Award in 2022, IEEE Big Data Security Senior Research Award in 2025, ACM SACMAT Test-of-Time Award in 2024, Distinguished Paper Award at ACSAC in 2020, Best Paper Awards at ACM ASIACCS in 2022, IEEE ICC in 2020, ACM SIGCSE in 2018, ACM CODASPY in 2014, and First Place in the ACM SIGCOMM 2018 Student Research Competition. His research is supported by funding from NSF programs (SaTC, CNS, IIS, OAC, SOC), USDOT, VMware, Amazon, Google, and Dell. Hu has published extensively in premier venues such as USENIX Security, NDSS, ACM CCS, IEEE S&P, SIGCOMM, NeurIPS, ICML, EMNLP, and CHI. Key publications include "Semantics Over Syntax: Uncovering Pre-Authentication 5G Baseband Vulnerabilities" (USENIX Security 2026), "APPATCH: Automated Adaptive Prompting Large Language Models for Real-World Software Vulnerability Patching" (USENIX Security 2025), "Jbshield: Defending large language models from jailbreak attacks through activated concept analysis and manipulation" (USENIX Security 2025), "I know what you MEME! Understanding and Detecting Harmful Memes with Multimodal Large Language Models" (NDSS 2025), and "Moderating Illicit Online Image Promotion for Unsafe User Generated Content Games Using Large Vision Language Models" (USENIX Security 2024). His work has been featured in ACM TechNews, InformationWeek, Slashdot, and NetworkWorld.