An efficient design technique of a quantum divider circuit. - Sayanton Vhaduri Dibbo; Hafiz Md. Hasan Babu; Lafifa Jamal (ISCAS, 2016)

Area and Delay Efficient Design of a Quantum Bit String Comparator. - Hafiz Md. Hasan Babu; Lafifa Jamal; Sayanton Vhaduri Dibbo; Ashis Kumer Biswas (ISVLSI, 2017)

Data-Driven Insights on Behavioral Factors that Affect Diabetes Management. - Samuel Morton; Rui Li; Sayanton V. Dibbo; Temiloluwa Prioleau (EMBC, 2020)

Effect of Noise on Generic Cough Models. - Sayanton V. Dibbo; Yugyeong Kim; Sudip Vhaduri (BSN, 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 (COMPSAC, 2021)

Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call Patterns. - Sayanton V. Dibbo; Yugyeong Kim; Sudip Vhaduri; Christian Poellabauer (ICHI, 2021)

HIAuth: A Hierarchical Implicit Authentication System for IoT Wearables Using Multiple Biometrics. - Sudip Vhaduri; Sayanton Vhaduri Dibbo; William Cheung 002 (IEEE Access, 2021)

Deriving College Students' Phone Call Patterns to Improve Student Life. - Sudip Vhaduri; Sayanton Vhaduri Dibbo; Yugyeong Kim (IEEE Access, 2021)

Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables. - Alexa Muratyan; William Cheung 002; Sayanton V. Dibbo; Sudip Vhaduri (CoRR, 2021)

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 (ICHI, 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 (USENIX Security Symposium, 2022)

SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap. - Sayanton V. Dibbo (CSF, 2023)

Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability. - Sayanton V. Dibbo; Dae Lim Chung; Shagufta Mehnaz (SaTML, 2023)

Implicit IoT authentication using on-phone ANN models and breathing data. - Sudip Vhaduri; Sayanton V. Dibbo; William Cheung 002 (Internet Things, 2023)

Novel Privacy Attacks and Defenses Against Neural Networks. - Sayanton V. Dibbo (CCS, 2024)

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures. - Sayanton V. Dibbo; Adam Breuer; Juston Moore; Michael A. Teti (ECCV (80), 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 (ICASSP Workshops, 2024)

mWIoTAuth: Multi-wearable data-driven implicit IoT authentication. - Sudip Vhaduri; Sayanton V. Dibbo; Alexa Muratyan; William Cheung 002 (Future Gener. Comput. Syst., 2024)

Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics. - Sudip Vhaduri; William Cheung 002; Sayanton V. Dibbo (IEEE Trans. Dependable Secur. Comput., 2024)