Tag Archives: 2021

Nekara: Generalized Consistency Testing

Posted on November 12, 2021 by | Comments Off on Nekara: Generalized Consistency Testing

Udit Agarwal, Pantazis Deligiannis, Cheng Huang, Kumseok Jung, Akash Lal, Immad Naseer, Matthew Parkinson, Arun Thangamani, Jyothi Vedurada, Yunpeng Xiao, Proceedings of the ACM/IEEE International Conference on Automated Software Engineering (ASE), 2021. [ PDF | Talk Slides]

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Understanding the Resilience of Neural Network Ensembles against Faulty Training Data

Posted on October 22, 2021 by | 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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OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines

Posted on September 4, 2021 by | Comments Off on OneOS: Middleware for Running Edge Computing Applications as Distributed POSIX Pipelines

Kumseok Jung, Julien Gascon-Samson, and Karthik Pattabiraman, ACM/IEEE Symposium on Edge Computing (SEC), 2021 (Acceptance Rate: 27%) [ PDF | Talk ] (code, demo video). Best Demo Award (one award given)
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MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform

Posted on September 4, 2021 by | Comments Off on MIRAGE: Machine Learning-based Modeling of Identical Replicas of the Jetson AGX Embedded Platform

Hazem A. Abdelhafez, Hassan Halawa, Mohamed Ahmed, Karthik Pattabiraman, and Matei Ripeanu. ACM/IEEE Symposium on Edge Computing (SEC), 2021 (Acceptance Rate: 27%). [ PDF | Talk ]
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Are you for Real? Authentication in Dynamic IoT Systems

Posted on September 2, 2021 by | Comments Off on Are you for Real? Authentication in Dynamic IoT Systems

Mehdi Karimibiuki, Karthik Pattabiraman, and Andre Ivanov, IEEE International Symposium on Pacific Rim Dependable Computing (PRDC), 2021. (Acceptance Rate: 43%) [ PDF | Talk ]
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(WiP) LLTFI: Low-Level Tensor Fault Injector

Posted on August 31, 2021 by | Comments Off on (WiP) LLTFI: Low-Level Tensor Fault Injector

Abraham Chan, Udit Agarwal, and Karthik Pattabiraman. IEEE International Workshop on Software Certification (WoSoCER’21), co-held with the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2021. [ PDF | Talk ] (Code)
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Towards a safety case for hardware-fault tolerance in convolutional neural networks using activation range supervision

Posted on August 21, 2021 by | Comments Off on Towards a safety case for hardware-fault tolerance in convolutional neural networks using activation range supervision

Florian Geissler, Syed Qutub, Sayanta Roychowdhury, Ali Asgari, Yang Peng, Akash Dhamasia, Ralf Graefe, Karthik Pattabiraman and Michael Paulitsch, AI Safety Workshop 2021, Best Paper Award Nominee (1 of 4) [ PDF | Talk ] (arXIV)
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PID-Piper: Recovering Robotic Vehicles from Physical Attacks

Posted on March 10, 2021 by | 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 by | 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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