Sayanton V. Dibbo

According to our database, Sayanton V. Dibbo authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics.

Sudip Vhaduri, William Cheung, Sayanton V. Dibbo

IEEE Trans. Dependable Secur. Comput., 2024

mWIoTAuth: Multi-wearable data-driven implicit IoT authentication.

Sudip Vhaduri, Sayanton V. Dibbo, Alexa Muratyan, William Cheung

Future Gener. Comput. Syst., 2024

LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition.

Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures.

Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Implicit IoT authentication using on-phone ANN models and breathing data.

Sudip Vhaduri, Sayanton V. Dibbo, William Cheung

Internet Things, December, 2023

Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability.

Sayanton V. Dibbo, Dae Lim Chung, Shagufta Mehnaz

Proceedings of the 2023 IEEE Conference on Secure and Trustworthy Machine Learning, 2023

SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap.

Sayanton V. Dibbo

Proceedings of the 36th IEEE Computer Security Foundations Symposium, 2023

2022

Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models.

Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir, Ninghui Li, Elisa Bertino

Proceedings of the 31st USENIX Security Symposium, 2022

Predicting A User's Demographic Identity from Leaked Samples of Health-Tracking Wearables and Understanding Associated Risks.

Sudip Vhaduri, Sayanton V. Dibbo, Chih-You Chen

Proceedings of the 10th IEEE International Conference on Healthcare Informatics, 2022

2021

Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables.

Alexa Muratyan, William Cheung, Sayanton V. Dibbo, Sudip Vhaduri

CoRR, 2021

Deriving College Students' Phone Call Patterns to Improve Student Life.

Sudip Vhaduri, Sayanton Vhaduri Dibbo, Yugyeong Kim

IEEE Access, 2021

HIAuth: A Hierarchical Implicit Authentication System for IoT Wearables Using Multiple Biometrics.

Sudip Vhaduri, Sayanton Vhaduri Dibbo, William Cheung

IEEE Access, 2021

Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call Patterns.

Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown.

Sudip Vhaduri, Sayanton V. Dibbo, Chih-You Chen, Christian Poellabauer

Proceedings of the IEEE 45th Annual Computers, Software, and Applications Conference, 2021

Effect of Noise on Generic Cough Models.

Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri

Proceedings of the 17th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2021

2020

Data-Driven Insights on Behavioral Factors that Affect Diabetes Management.

Samuel Morton, Rui Li, Sayanton V. Dibbo, Temiloluwa Prioleau

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2017

Area and Delay Efficient Design of a Quantum Bit String Comparator.

Hafiz Md. Hasan Babu, Lafifa Jamal, Sayanton Vhaduri Dibbo, Ashis Kumer Biswas

Proceedings of the 2017 IEEE Computer Society Annual Symposium on VLSI, 2017

2016

An efficient design technique of a quantum divider circuit.

Sayanton Vhaduri Dibbo, Hafiz Md. Hasan Babu, Lafifa Jamal

Proceedings of the IEEE International Symposium on Circuits and Systems, 2016