Author Archives: karthikp

Co-Approximator: Enabling Performance Prediction in Colocated Applications

Mohammad Rafiuzzaman, Sathish Gopalakrishnan and Karthik Pattabiraman, To appear in the ACM Transactions on Embedded Computing Systems (TECS). Acceptance Date: May 2024. [ PDF (coming soon) ]
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Harnessing Explainability to Improve ML Ensemble Resilience

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman and Sathish Gopalakrishnan, To appear in the Supplementary proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2024. Disrupt Track. (Acceptance Rate: TBD) [ PDF | Talk ]
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POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance

Rui Xi, Zehua Wang, and Karthik Pattabiraman, Proceedings of the IEEE Symposium on Security and Privacy (S&P), 2024. (Acceptance Rate: 17.8%) [ PDF | Talk] (Code)
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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, To appear in the IEEE/ACM international conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE) (CHASE 2024). (Acceptance Rate: TBD) [ PDF | Talk ] (arXIV version)
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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: TBD) [ PDF | Talk] (code)
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Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks

Pritam Dash, Guanpeng Li, Mehdi Karimibiuki, and Karthik Pattabiraman, To appear in the ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2024. (Acceptance Rate: TBD) [PDF | Talk] (Code) (arXIV version)
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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

Zitao Chen and Karthik Pattabiraman, Proceedings of the Network and Distributed Systems Security Conference (NDSS), 2024. (Acceptance Rate: 15%). [ PDF | Talk ] (ArXIV, Code). Artifacts Available, Functional and Reproduced
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Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots

Deval Shah, Zi Yu Xue, Karthik Pattabiraman and Tor Aamodt, To appear in the ACM Transactions on Cyber-Physical Systems (TCPS). (Acceptance date: Sep 2023). [PDF] (arXIV)
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EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Amirhossein Ahmadi, Hazem Abdelhafez, Karthik Pattabiraman and Matei Ripeanu, Proceedings of the ACM/IEEE International Symposium on Edge Computing (SEC), 2023. (Acceptance Rate: 25%) [ PDF | Talk ] (Code)
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Evaluating the Effect of Common Annotation Faults on Object Detection Techniques

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman and Sathish Gopalakrishnan, Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023. (Acceptance Rate: 28.5%) [ PDF | Talk ] (Code). Artifacts Available and Reviewed.

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