A course module on HTML5 new features and security concerns. - Mounika Vanamala; Xiaohong Yuan; Macey Morgan (J. Comput. Sci. Coll., 2019)

Developing and Assessing a Web-Based Interactive Visualization Tool to Teach Buffer Overflow Concepts. - Jinghua Zhang; Xiaohong Yuan; Jaris Johnson; Jinsheng Xu; Mounika Vanamala (FIE, 2020)

Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. - Jacob Mallet; Laura Pryor; Rushit Dave; Naeem Seliya; Mounika Vanamala; Evelyn R. Sowells Boone (CACML, 2022)

Human Activity Recognition models using Limited Consumer Device Sensors and Machine Learning. - Wei Zhong Tee; Rushit Dave; Naeem Seliya; Mounika Vanamala (CACML, 2022)

A Close Look into Human Activity Recognition Models using Deep Learning. - Wei Zhong Tee; Rushit Dave; Jim Seliya; Mounika Vanamala (CNIOT, 2022)

Continuous User Authentication Using Machine Learning and Multi-finger Mobile Touch Dynamics with a Novel Dataset. - Zachary Deridder; Nyle Siddiqui; Thomas Reither; Rushit Dave; Brendan Pelto; Mounika Vanamala; Naeem Seliya (ISCMI, 2022)

Using Deep Learning to Detecting Deepfakes. - Jacob Mallet; Rushit Dave; Naeem Seliya; Mounika Vanamala (ISCMI, 2022)

A Close Look into Human Activity Recognition Models using Deep Learning. - Wei Zhong Tee; Rushit Dave; Naeem Seliya; Mounika Vanamala (CoRR, 2022)

Evaluation of a User Authentication Schema Using Behavioral Biometrics and Machine Learning. - Laura Pryor; Jacob Mallet; Rushit Dave; Naeem Seliya; Mounika Vanamala; Evelyn R. Sowells Boone (CoRR, 2022)

Machine and Deep Learning Applications to Mouse Dynamics for Continuous User Authentication. - Nyle Siddiqui; Rushit Dave; Mounika Vanamala; Naeem Seliya (Mach. Learn. Knowl. Extr., 2022)

Visualization Dashboard for Recommending Attack Patterns Using Topic Modeling. - Jairen Gilmore; Uriah Vendell Moore; Xiaohong Yuan; Taylor Headen; Mounika Vanamala (ICSIE, 2023)

Deepfake Detection Analyzing Hybrid Dataset Utilizing CNN and SVM. - Jacob Mallet; Laura Pryor; Rushit Dave; Mounika Vanamala (ISMSI, 2023)

Leveraging Deep Learning Approaches for Deepfake Detection: A Review. - Aniruddha Tiwari; Rushit Dave; Mounika Vanamala (ISMSI, 2023)

Machine Learning Based Approach to Recommend MITRE ATT&CK Framework for Software Requirements and Design Specifications. - Nicholas Lasky; Benjamin Hallis; Mounika Vanamala; Rushit Dave; Jim Seliya (CoRR, 2023)

Hybrid Deepfake Detection Utilizing MLP and LSTM. - Jacob Mallet; Natalie Krueger; Mounika Vanamala; Rushit Dave (CoRR, 2023)

Your Identity is Your Behavior - Continuous User Authentication based on Machine Learning and Touch Dynamics. - Brendan Pelto; Mounika Vanamala; Rushit Dave (CoRR, 2023)

Using Machine Learning To Identify Software Weaknesses From Software Requirement Specifications. - Mounika Vanamala; Sean Loesch; Alexander Caravella (CoRR, 2023)

Recent Advancements In The Field Of Deepfake Detection. - Natalie Krueger; Mounika Vanamala; Rushit Dave (CoRR, 2023)

Software Repositories and Machine Learning Research in Cyber Security. - Mounika Vanamala; Keith Bryant; Alexander Caravella (CoRR, 2023)

Secure Arcade: A Gamified Defense Against Cyber Attacks. - Sean Loesch; Ryan Hrastich; Jordan Herbert; Ben Drangstveit; Jacob Weber; Mounika Vanamala (CoRR, 2023)

Enhancing Mouse Dynamics for Continuous Secure Authentication Using Machine Learning. - Braxton Fair; Cole Harp; Mahlet Asmare; Mohammed Khalil; Rushit Dave; Mounika Vanamala (J. Comput. Sci. Coll., 2023)

Clicking Your Way to Security: A Review of Continuous Authentication with Mouse Dynamics. - Ali Rashid; Cole Schoenbauer; James O'Reilly; Marcho Handoko; Rushit Dave; Mounika Vanamala (J. Comput. Sci. Coll., 2023)

Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication. - Sara Kokal; Mounika Vanamala; Rushit Dave (J. Cybersecur. Priv., 2023)

Analyzing Tweets for Disaster Prediction. - Ryan Boston; Naeem Seliya; Mounika Vanamala (EIT, 2024)

Click Fraud Detection of Online Advertising Using Machine Learning Algorithms. - Benjamin Kirkwood; Mounika Vanamala; Naeem Seliya (EIT, 2024)

Heart Murmur Prediction with Machine Learning. - Thomas Scott; Naeem Seliya; Mounika Vanamala (EIT, 2024)

Exploration and Evaluation of Bias in Cyberbullying Detection with Machine Learning. - Andrew Root; Liam Jakubowski; Mounika Vanamala (CoRR, 2024)