Author Archives: karthikp

ICS-Sniper: A Targeted Blackhole Attack on Encrypted ICS Traffic

Gargi Mitra, Chanyuan Liu, Pritam Dash, Yingao (Elaine) Yao, Alain Zhiyanov, Aastha Mehta, Karthik Pattabiraman. To appear in the Proceedings of the Network and Distributed Systems Security Symposium (NDSS), 2027. (Acceptance rate: TBD). [ PDF (coming soon) | Talk ] (arXIV version)
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The Anatomy of a Misprediction: Tracking Terrestrial and Orbital Radiation-Induced Errors in Systolic Arrays

Rafael Tonetto, Pedro Pimenta, Abraham Chan, Karthik Pattabiraman, Fernando dos Santos, Marcello Traiola, Angeliki Kritikakou, Paolo Rech. To appear in the Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2026. (Acceptance Rate: 19.2%). [ PDF | Talk ]

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The Statistical Assessment of Bayes-“sub”optimal Binary Machine Learning Classifier Risk

Abraham Chan, Ilir Gashi, Sathish Gopalakrishnan, Karthik Pattabiraman and Kizito Salako. To appear in the Proceedings of the International Conference on Computer Safety, Reliability and Security (Safecomp), 2026. (Acceptance Rate: 18.4%). [ PDF | Talk ]
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RVDebloater: Mode-based Adaptive Firmware Debloating for Robotic Vehicles

Mohsen Salehi and Karthik Pattabiraman. Proceedings of the USENIX Symposium on Vehicle Security and Privacy (VehicleSec), 2026. (Acceptance Rate: 32% for full papers). [ PDF | Talk ] (Code) Artifacts Available
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Requalizer: A Co-designed Information Flow Control and Quality of Service Management Framework

Kumseok Jung, Sathish Gopalakrishnan, Karthik Pattabiraman, To appear in the Proceedings of the ACM/IFIP/Usenix International Middleware Conference (Middleware), 2026. (Acceptance rate: 20%). [ PDF | Talk ] (Code)
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ReSect: A Tool for Automated Analysis of Reentrancy Exploit Transactions on Blockchains

Yuqi Liu, Rui Xi, and Karthik Pattabiraman. Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2026. (Acceptance rate: 20%). [ PDF | Talk] (Code) Code Reproducible, Dataset Reproducible
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Thinking Inside the Box: Injecting Realistic Radiation Faults in ML Accelerators

Bruno Loureiro Coelho, Seyedmani Sadati, Abraham Chan, Alex Hands, Karthik Pattabiraman, and Paolo Rech. Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2026. (Acceptance Rate: 20%) [ PDF | Talk ] (Code). Best Paper and Distinguished Award (one of over 300 submissions). Code Reproducible, Dataset Reproducible
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ARMOR: Attack-Resilient Reinforcement Learning Control for UAVs

Pritam Dash, Ethan Chan, Nathan P. Lawrence, Karthik Pattabiraman, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA’26). (Acceptance Rate: 38%) [ PDF | Poster ] (Code) (arXIV version)

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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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Feed-Forward Controller-Based Recovery for Robotic Vehicles from Physical Attacks

Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, Karthik Pattabiraman. IEEE Transactions on Dependable and Secure Computing (TDSC). [ PDF ]
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