A survey of human-in-the-loop for machine learning
Abstract Machine learning has become the state-of-the-art technique for many tasks
including computer vision, natural language processing, speech processing tasks, etc …
including computer vision, natural language processing, speech processing tasks, etc …
A comprehensive survey on machine learning approaches for malware detection in IoT-based enterprise information system
A Gaurav, BB Gupta, PK Panigrahi - Enterprise Information …, 2023 - Taylor & Francis
ABSTRACT The Internet of Things (IoT) is a relatively new technology that has piqued
academics' and business information systems' attention in recent years. The Internet of …
academics' and business information systems' attention in recent years. The Internet of …
[HTML][HTML] DL-Droid: Deep learning based android malware detection using real devices
The Android operating system has been the most popular for smartphones and tablets since
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
2012. This popularity has led to a rapid raise of Android malware in recent years. The …
Sapienz: Multi-objective automated testing for android applications
We introduce Sapienz, an approach to Android testing that uses multi-objective search-
based testing to automatically explore and optimise test sequences, minimising length, while …
based testing to automatically explore and optimise test sequences, minimising length, while …
Guided, stochastic model-based GUI testing of Android apps
Mobile apps are ubiquitous, operate in complex environments and are developed under the
time-to-market pressure. Ensuring their correctness and reliability thus becomes an …
time-to-market pressure. Ensuring their correctness and reliability thus becomes an …
The evolution of android malware and android analysis techniques
With the integration of mobile devices into daily life, smartphones are privy to increasing
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
amounts of sensitive information. Sophisticated mobile malware, particularly Android …
Fill in the blank: Context-aware automated text input generation for mobile gui testing
Automated GUI testing is widely used to help ensure the quality of mobile apps. However,
many GUIs require appropriate text inputs to proceed to the next page, which remains a …
many GUIs require appropriate text inputs to proceed to the next page, which remains a …
Robust smartphone app identification via encrypted network traffic analysis
The apps installed on a smartphone can reveal much information about a user, such as their
medical conditions, sexual orientation, or religious beliefs. In addition, the presence or …
medical conditions, sexual orientation, or religious beliefs. In addition, the presence or …
Mamadroid: Detecting android malware by building markov chains of behavioral models (extended version)
As Android has become increasingly popular, so has malware targeting it, thus motivating
the research community to propose different detection techniques. However, the constant …
the research community to propose different detection techniques. However, the constant …
Reinforcement learning based curiosity-driven testing of Android applications
Mobile applications play an important role in our daily life, while it still remains a challenge
to guarantee their correctness. Model-based and systematic approaches have been applied …
to guarantee their correctness. Model-based and systematic approaches have been applied …