Guangjing Wang Assistant Professor @ USF
Guangjing Wang

Selected Five Papers (Full List: Google Scholar)

Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting

Alabi Mehzabin Anisha, Guangjing Wang, Sriram Chellappan

CVPR 2026 / pdf / code

This paper investigates vulnerabilities in localized crowd counting, an important computer vision application, by introducing a novel adversarial attack framework.

Keywords: Crowded counting, density map, point regression, adversarial attack, transferability

A Multi-Agent Framework for High-Interaction Terminal Simulation

Kai Wei, Yuwen Cui, Kehan Shen, Hua Wei, Guangjing Wang

ACL 2026 / pdf / code

This paper introduces a multi-agent architecture with a routing model that dispatches commands to external tools or LLM agents to support interactive commands simulation.

Keywords: LLM multi-agent, terminal simulation, shell honeypot, LLM fine-tuning

WavePurifier: Purifying Audio Adversarial Examples via Hierarchical Diffusion Models

Hanqing Guo, Guangjing Wang, Bocheng Chen, Yuanda Wang, Xiao Zhang, Xun Chen, Qiben Yan, Li Xiao

MobiCom 2024 / pdf / code

WavePurifier is an audio purification framework to defend against audio adversarial attacks.

Keywords: AI security, speech recognition, diffusion model, mobile security

Graph Learning for Interactive Threat Detection in Heterogeneous Smart Home Rule Data

Guangjing Wang, Nikolay Ivanov, Bocheng Chen, Qi Wang, ThanhVu Nguyen, Qiben Yan

SIGMOD 2023 / pdf / code

Glint is the first graph learning-based system for interactive threat detection in smart homes.

Keywords: graph neural network, contrastive learning, smart home, security

FacER: Contrastive Attention based Expression Recognition via Smartphone Earpiece Speaker

Guangjing Wang, Qiben Yan, Shane Patrarungrong, Juexing Wang, Huacheng Zeng

INFOCOM 2023 / pdf / code

Facer is the first active acoustic facial expression recognition system on smartphone devices.

Keywords: acoustic sensing, expression recognition, contrastive learning, domain adaptation