Are Your Sensitive Attributes Private? Novel Model Inversion Attribute Inference Attacks on Classification Models S Mehnaz, SV Dibbo, E Kabir, N Li, E Bertino 31st USENIX Security Symposium (USENIX Security), 2022 | 74 | 2022 |
Opportunistic multi-modal user authentication for health-tracking IoT wearables A Muratyan, W Cheung, SV Dibbo, S Vhaduri International Conference on Safety and Security with IoT (EAI SaSeIoT) 2021 …, 2022 | 37 | 2022 |
HIAuth: A hierarchical implicit authentication system for IoT wearables using multiple biometrics S Vhaduri, SV Dibbo, W Cheung IEEE Access 9, 116395-116406, 2021 | 37 | 2021 |
SoK: Model Inversion Attack Landscape: Taxonomy, Challenges, and Future Roadmap SV Dibbo IEEE 36th Computer Security Foundations Symposium (CSF), 408-425, 2023 | 32 | 2023 |
On-phone CNN model-based implicit authentication to secure IoT wearables SV Dibbo, W Cheung, S Vhaduri International Conference on Safety and Security with IoT (EAI SaSeIoT) 2021 …, 2022 | 27 | 2022 |
An efficient design technique of a quantum divider circuit SV Dibbo, HMH Babu, L Jamal IEEE international symposium on circuits and systems (ISCAS), 2102-2105, 2016 | 24 | 2016 |
Visualizing college students’ geo-temporal context-varying significant phone call patterns SV Dibbo, Y Kim, S Vhaduri, C Poellabauer IEEE 9th International Conference on Healthcare Informatics (ICHI), 381-385, 2021 | 21 | 2021 |
Effect of noise on generic cough models SV Dibbo, Y Kim, S Vhaduri IEEE Conference on Wearable and Implantable Body Sensor Networks (BSN), 1-4, 2021 | 21 | 2021 |
Deriving college students’ phone call patterns to improve student life S Vhaduri, SV Dibbo, Y Kim IEEE Access 9, 96453-96465, 2021 | 21 | 2021 |
Predicting next call duration: A future direction to promote mental health in the age of lockdown S Vhaduri, SV Dibbo, CY Chen, C Poellabauer IEEE Computers, Software, and Applications Conference (COMPSAC), 804-811, 2021 | 20 | 2021 |
Predicting a user's demographic identity from leaked samples of health-tracking wearables and understanding associated risks S Vhaduri, SV Dibbo, CY Chen IEEE 10th International Conference on Healthcare Informatics (ICHI), 309-318, 2022 | 17 | 2022 |
Bag of On-Phone ANNs to Secure IoT Objects Using Wearable and Smartphone Biometrics S Vhaduri, W Cheung, SV Dibbo IEEE Transactions on Dependable and Secure Computing (TDSC), 2023 | 16 | 2023 |
Environment Knowledge-Driven Generic Models to Detect Coughs From Audio Recordings S Vhaduri, SV Dibbo, Y Kim IEEE Open Journal of Engineering in Medicine and Biology (OJEMB), 2023 | 14 | 2023 |
Data-driven insights on behavioral factors that affect diabetes management S Morton, R Li, SV Dibbo, T Prioleau IEEE Conference of Engineering in Medicine & Biology Society (EMBC), 5557-5562, 2020 | 12 | 2020 |
Lcanets++: Robust audio classification using multi-layer neural networks with lateral competition SV Dibbo, JS Moore, GT Kenyon, MA Teti IEEE Conference on Acoustics, Speech, & Signal Processing Workshops (ICASSPW …, 2024 | 9 | 2024 |
Model Inversion Attack with Least Information and an In-depth Analysis of its Disparate Vulnerability SV Dibbo, DL Chung, S Mehnaz IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023 | 9 | 2023 |
Implicit IoT authentication using on-phone ANN models and breathing data S Vhaduri, SV Dibbo, W Cheung Internet of Things (IoT) 24, 101003, 2023 | 8 | 2023 |
mWIoTAuth: Multi-wearable data-driven implicit IoT authentication S Vhaduri, SV Dibbo, A Muratyan, W Cheung Future Generation Computer Systems (FGCS) 159, 230-242, 2024 | 6 | 2024 |
Area and delay efficient design of a quantum bit string comparator HMH Babu, L Jamal, SV Dibbo, AK Biswas IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 51-56, 2017 | 4 | 2017 |
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures SV Dibbo, A Breuer, J Moore, M Teti European Conference on Computer Vision (ECCV), 117-136, 2024 | 3 | 2024 |