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Found 10 papers, 1 papers with code
Using Deep Learning to Detecting Deepfakes
This study looks at various deepfake detection models that use deep learning algorithms to combat this looming threat.
Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication
Static authentication methods, like passwords, grow increasingly weak with advancements in technology and attack strategies.
Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning
In this study, we aim to contribute to the research being done on behavioral biometrics by creating and evaluating a user authentication scheme using behavioral biometrics.
A Close Look into Human Activity Recognition Models using Deep Learning
Human activity recognition using deep learning techniques has become increasing popular because of its high effectivity with recognizing complex tasks, as well as being relatively low in costs compared to more traditional machine learning techniques.
Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning
Results show promise for models trained strictly using limited sensor data collected from only smartphones and smartwatches coupled with traditional machine learning concepts and algorithms.
Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning
In recent years the amount of secure information being stored on mobile devices has grown exponentially.
Continuous Authentication Using Mouse Movements, Machine Learning, and Minecraft
Mouse dynamics has grown in popularity as a novel irreproducible behavioral biometric.
Named Entity Recognition in Unstructured Medical Text Documents
Physicians provide expert opinion to legal courts on the medical state of patients, including determining if a patient is likely to have permanent or non-permanent injuries or ailments.
A Modern Analysis of Aging Machine Learning Based IoT Cybersecurity Methods
This study examines the effectiveness of three distinct Internet of Things cyber security algorithms currently used in industry today for malware and intrusion detection: Random Forest (RF), Support-Vector Machine (SVM), and K-Nearest Neighbor (KNN).
Machine Learning: Challenges, Limitations, and Compatibility for Audio Restoration Processes
In this paper machine learning networks are explored for their use in restoring degraded and compressed speech audio.
BIG-bench Machine Learning
Generative Adversarial Network
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