Sayanton V. Dibbo

19 papers A* 2A 1B 1C 1Journal 8Unranked 6
YearRankTypeTitle / Venue / Authors
2025 J jnl
Are Neuro-Inspired Multi-Modal Vision-Language Models Resilient to Membership Inference Privacy Leakage?
CoRR
David Amebley, Sayanton V. Dibbo
2024 J jnl
Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics.
IEEE Trans. Dependable Secur. Comput.
Sudip Vhaduri, William Cheung, Sayanton V. Dibbo
2024 — conf
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures.
ECCV (80)
Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti
2024 J jnl
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures.
CoRR
Sayanton V. Dibbo, Adam Breuer, Juston Moore, Michael A. Teti
2024 — conf
LCANets++: Robust Audio Classification Using Multi-Layer Neural Networks with Lateral Competition.
ICASSP Workshops
Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti
2024 A* conf
Novel Privacy Attacks and Defenses Against Neural Networks.
CCS
Sayanton V. Dibbo
2024 J jnl
mWIoTAuth: Multi-wearable data-driven implicit IoT authentication.
Future Gener. Comput. Syst.
Sudip Vhaduri, Sayanton V. Dibbo, Alexa Muratyan, William Cheung
2023 J jnl
Implicit IoT authentication using on-phone ANN models and breathing data.
Internet Things
Sudip Vhaduri, Sayanton V. Dibbo, William Cheung
2023 J jnl
LCANets++: Robust Audio Classification using Multi-layer Neural Networks with Lateral Competition.
CoRR
Sayanton V. Dibbo, Juston S. Moore, Garrett T. Kenyon, Michael A. Teti
2023 — conf
Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability.
SaTML
Sayanton V. Dibbo, Dae Lim Chung, Shagufta Mehnaz
2023 A conf
SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap.
CSF
Sayanton V. Dibbo
2022 A* conf
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models.
USENIX Security Symposium
Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir, Ninghui Li, Elisa Bertino
2022 J jnl
Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models.
CoRR
Shagufta Mehnaz, Sayanton V. Dibbo, Ehsanul Kabir, Ninghui Li, Elisa Bertino
2022 — conf
Predicting A User's Demographic Identity from Leaked Samples of Health-Tracking Wearables and Understanding Associated Risks.
ICHI
Sudip Vhaduri, Sayanton V. Dibbo, Chih-You Chen
2021 C conf
Effect of Noise on Generic Cough Models.
BSN
Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri
2021 J jnl
Opportunistic Implicit User Authentication for Health-Tracking IoT Wearables.
CoRR
Alexa Muratyan, William Cheung, Sayanton V. Dibbo, Sudip Vhaduri
2021 B conf
Predicting Next Call Duration: A Future Direction to Promote Mental Health in the Age of Lockdown.
COMPSAC
Sudip Vhaduri, Sayanton V. Dibbo, Chih-You Chen, Christian Poellabauer
2021 — conf
Visualizing College Students' Geo-Temporal Context-Varying Significant Phone Call Patterns.
ICHI
Sayanton V. Dibbo, Yugyeong Kim, Sudip Vhaduri, Christian Poellabauer
2020 — conf
Data-Driven Insights on Behavioral Factors that Affect Diabetes Management.
EMBC
Samuel Morton, Rui Li, Sayanton V. Dibbo, Temiloluwa Prioleau