Tag Archives: award

Understanding the Resilience of Neural Network Ensembles against Faulty Training Data

Posted on October 22, 2021 | Comments Off on Understanding the Resilience of Neural Network Ensembles against Faulty Training Data

Abraham Chan, Niranjhana Narayananan, Arpan Gujarati, Karthik Pattabiraman, and Sathish Gopalakrishnan, IEEE International Symposium on Quality, Reliability and Security (QRS), 2021. Full paper (Acceptance Rate: 25.1%) [ PDF | Talk | Video ] Best Paper Award (1 of 3)

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PID-Piper: Recovering Robotic Vehicles from Physical Attacks

Posted on March 10, 2021 | Comments Off on PID-Piper: Recovering Robotic Vehicles from Physical Attacks

Pritam Dash, Guanpeng Li, Zitao Chen, Mehdi Karimibiuki, and Karthik Pattabiraman, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021. (Acceptance Rate: 16.5%). [ PDF | Talk, Talk Video ] (Code, PID-Piper Videos) Best Paper Award (1 of nearly 300 submissions).
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A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

Posted on March 10, 2021 | Comments Off on A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

Zitao Chen, Guanpeng Li, and Karthik Pattabiraman, IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2021. (Acceptance Rate: 16.5%). [ PDF | Talk , Video] (arXIV, code) Best Paper Award Runner up (1 of 2 among nearly 300 submissions). Incorporated into Intel’s OpenVino2 Framework (More details, Documentation).
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Design-Level and Code-Level Security Analysis of IoT Devices

Posted on February 11, 2019 | Comments Off on Design-Level and Code-Level Security Analysis of IoT Devices

Farid Molazem Tabrizi and Karthik Pattabiraman, ACM Transactions on Embedded Computing Systems (TECS). [ PDF ]. Awarded best paper of TECS 2020 (ECE Story). Received significant news coverage (below).
(This paper supercedes our ACSAC’16 paper.)
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Modeling Soft-Error Propagation in Programs

Posted on March 4, 2018 | Comments Off on Modeling Soft-Error Propagation in Programs

Guanpeng Li, Karthik Pattabiraman, Siva Kumar Sastry Hari, Michael Sullivan, and Timothy Tsai. IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2018. (Acceptance Rate for Regular Papers: 25%) [ PDF | Talk ] (Link to Code) (Best Paper Runner up)
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