74 citations · 283 across the 15 of their papers we have counts for
15 papers
CAPED: Context-Aware Privacy Exposure Defense for Mobile GUI Agents
Siyu Shen, Fenghao Xu, Wenrui Diao +1
Screenshot-based mobile GUI agents can operate ordinary smartphone apps through the same visual interface as a human user, but this capability also turns every screen observation i…
Hunting the Ghost: Towards Automatic Mining of IoT Hidden Services
Shuaike Dong, Siyu Shen, Zhou Li +1
In this paper, we proposes an automatic firmware analysis tool targeting at finding hidden services that may be potentially harmful to the IoT devices. Our approach uses static ana…
Nowhere to Hide: A Lightweight Unsupervised Detector against Adversarial Examples
Hui Liu, Bo Zhao, Kehuan Zhang +1
Although deep neural networks (DNNs) have shown impressive performance on many perceptual tasks, they are vulnerable to adversarial examples that are generated by adding slight but…
An Empirical Study of Blockchain System Vulnerabilities: Modules, Types, and Patterns
Xiao Yi, Daoyuan Wu, Lingxiao Jiang +3
Blockchain, as a distributed ledger technology, becomes increasingly popular, especially for enabling valuable cryptocurrencies and smart contracts. However, the blockchain softwar…
Towards Evaluating and Training Verifiably Robust Neural Networks
Zhaoyang Lyu, Minghao Guo, Tong Wu +3
Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks. Reseachers observe an intriguing phenomenon on these IBP train…
Your Smart Home Can't Keep a Secret: Towards Automated Fingerprinting of IoT Traffic with Neural Networks
Shuaike Dong, Zhou Li, Di Tang +3
The IoT (Internet of Things) technology has been widely adopted in recent years and has profoundly changed the people's daily lives. However, in the meantime, such a fast-growing t…
Demon in the Variant: Statistical Analysis of DNNs for Robust Backdoor Contamination Detection
Di Tang, XiaoFeng Wang, Haixu Tang +1
A security threat to deep neural networks (DNN) is backdoor contamination, in which an adversary poisons the training data of a target model to inject a Trojan so that images carry…
Invisible Mask: Practical Attacks on Face Recognition with Infrared
Zhe Zhou, Di Tang, Xiaofeng Wang +3
Accurate face recognition techniques make a series of critical applications possible: policemen could employ it to retrieve criminals' faces from surveillance video streams; cross…
Query-Free Attacks on Industry-Grade Face Recognition Systems under Resource Constraints
Di Tang, XiaoFeng Wang, Kehuan Zhang
To launch black-box attacks against a Deep Neural Network (DNN) based Face Recognition (FR) system, one needs to build \textit{substitute} models to simulate the target model, so t…
Face Flashing: a Secure Liveness Detection Protocol based on Light Reflections
Di Tang, Zhe Zhou, Yinqian Zhang +1
Face authentication systems are becoming increasingly prevalent, especially with the rapid development of Deep Learning technologies. However, human facial information is easy to b…
Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be
Nan Zhang, Soteris Demetriou, Xianghang Mi +11
Inspired by the boom of the consumer IoT market, many device manufacturers, start-up companies and technology giants have jumped into the space. Unfortunately, the exciting utility…
Vulnerable GPU Memory Management: Towards Recovering Raw Data from GPU
Zhe Zhou, Wenrui Diao, Xiangyu Liu +3
In this paper, we present that security threats coming with existing GPU memory management strategy are overlooked, which opens a back door for adversaries to freely break the memo…
Your Voice Assistant is Mine: How to Abuse Speakers to Steal Information and Control Your Phone
Wenrui Diao, Xiangyu Liu, Zhe Zhou +1
Previous research about sensor based attacks on Android platform focused mainly on accessing or controlling over sensitive device components, such as camera, microphone and GPS. Th…
Acoustic Fingerprinting Revisited: Generate Stable Device ID Stealthy with Inaudible Sound
Zhe Zhou, Wenrui Diao, Xiangyu Liu +1
The popularity of mobile device has made people's lives more convenient, but threatened people's privacy at the same time. As end users are becoming more and more concerned on the…
An Empirical Study on Android for Saving Non-shared Data on Public Storage
Xiangyu Liu, Zhe Zhou, Wenrui Diao +2
With millions of apps that can be downloaded from official or third-party market, Android has become one of the most popular mobile platforms today. These apps help people in all k…