49 citations · 279 across the 48 of their papers we have counts for
5 papers · 1 filter
Mobile GUI Agents under Real-world Threats: Are We There Yet?
Guohong Liu, Jialei Ye, Jiacheng Liu +5
Recent years have witnessed a rapid development of mobile GUI agents powered by large language models (LLMs), which can autonomously execute diverse device-control tasks based on n…
A First Look At Efficient And Secure On-Device LLM Inference Against KV Leakage
Huan Yang, Deyu Zhang, Yudong Zhao +2
Running LLMs on end devices has garnered significant attention recently due to their advantages in privacy preservation. With the advent of lightweight LLM models and specially des…
DeepPayload: Black-box Backdoor Attack on Deep Learning Models through Neural Payload Injection
Yuanchun Li, Jiayi Hua, Haoyu Wang +2
Deep learning models are increasingly used in mobile applications as critical components. Unlike the program bytecode whose vulnerabilities and threats have been widely-discussed,…
Beyond the Virus: A First Look at Coronavirus-themed Mobile Malware
Liu Wang, Ren He, Haoyu Wang +8
As the COVID-19 pandemic emerged in early 2020, a number of malicious actors have started capitalizing the topic. Although a few media reports mentioned the existence of coronaviru…
FraudDroid: Automated Ad Fraud Detection for Android Apps
Feng Dong, Haoyu Wang, Li Li +5
Although mobile ad frauds have been widespread, state-of-the-art approaches in the literature have mainly focused on detecting the so-called static placement frauds, where only a s…