Tag Archives: Gargi

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices

Gargi Mitra, Mohammadreza Hallajiyan, Inji Kim, Athish Pranav Dharmalingam, Mohammed ElNawawy, Sharear Iqbal, Karthik Pattabiraman, Homa Alemzadeh. Springer Nature, 2026. (Invited) (arXIV version)
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Turnstile: Hybrid Information Flow Control Framework for Managing Privacy in Internet-of-Things Applications

Kumseok Jung, Mohanna Shahrad, Gargi Mitra, and Karthik Pattabiraman, To appear in the ACM European Conference on Computer Systems (EuroSys), 2026. (Acceptance Rate: 16.9%). [PDF | Talk] (Code) Artifacts Available, Functional and Results Reproduced.
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SAM: Foreseeing Inference-Time False Data Injection Attacks on ML-enabled Medical Devices

Mohammadreza Hallajiyan, Athish Pranav Dharmalingam, Gargi Mitra, Homa Alemzadeh, Shahrear Iqbal and Karthik Pattabiraman, Workshop on Cybersecurity in HealthCare (HealthSec), 2024. Co-held with ACM CCS’24. [ PDF | Talk ]
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Systematically Assessing the Security Risks of AI/ML-enabled Connected Healthcare Systems

Mohammad ElNawawy, Mohammadreza Hallajiyan, Gargi Mitra, Shahrear Iqbal, and Karthik Pattabiraman, Proceedings of the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (CHASE 2024). (Acceptance Rate: 28.4%) [ PDF | Talk ] (arXIV version, Code&data)
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ImmunoPlane: Middleware for Providing Adaptivity to Distributed Internet-of-Things Applications

Kumseok Jung, Gargi Mitra, Sathish Gopalakrishnan and Karthik Pattabiraman, Proceedings of the ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI), 2024. (Acceptance Rate: 36.7%) [ PDF | Talk] (code)
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