Tag Archives: 2023

EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Amirhossein Ahmadi, Hazem Abdelhafez, Karthik Pattabiraman and Matei Ripeanu, To appear in the ACM/IEEE International Symposium on Edge Computing (SEC), 2023. (Acceptance Rate: 25%) [ PDF (coming soon) | 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, To appear in the Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023. (Acceptance Rate: 29.5%) [ PDF | Talk ] (Code)

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Resilience Assessment of Large Language Models under Transient Hardware Faults

Udit Agarwal, Abraham Chan, and Karthik Pattabiraman, To appear in the Proceedings of the IEEE International Symposium on Software Reliability Engineering (ISSRE), 2023. (Acceptance Rate: 29.5%) [ PDF | Talk ] (Code)
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Mixed Precision Support in HPC Applications: What About Reliability?

Alessio Netti, Yang Peng, Patrik Omland, Michael Paulitsch, Jorge Parra, Gustavo Espinosa, Udit Agarwal, Abraham Chan, and Karthik Pattabiraman, Journal of Parallel and Distributed Computing (JPDC). [ PDF ] (code)
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Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults

Udit Kumar Agarwal, Abraham Chan, Ali Asgari, and Karthik Pattabiraman. 19th IEEE Workshop on Silicon Errors in Logic – System Effects (SELSE), 2023. Received Best-of-SELSE award (one of three papers). [ PDF  | Presentation ] (Code)
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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

Zitao Chen and Karthik Pattabiraman, To appear in the Network and Distributed Systems Security Conference (NDSS), 2024. (Acceptance Rate: TBD). [ PDF | Talk ] (ArXIV, Code). Artifacts Available, Functional and Reproduced
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Structural Coding: A Low-Cost Scheme to Protect CNNs from Large-Granularity Memory Faults

Ali Asgari, Florian Geissler, Syed Qutub, Michael Paulitsch, Prashant Nair, and Karthik Pattabiraman, To appear in the Proceedings of the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2023. (Acceptance Rate: 23.9%) [ PDF | Talk ] (codeArtifacts Available and Functional)
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A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Florian Geissler, Syed Qutub, Michael Paulitsch and Karthik Pattabiraman, To appear in the proceedings of the International Conference on Computer Safety, Reliability and Security (SafeComp), 2023. (Acceptance Rate: 20%) [PDF | Talk]
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SwarmFuzz: Discovering GPS Spoofing Attacks in Drone Swarms

Elaine Yao, Pritam Dash and Karthik Pattabiraman, Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2023. (Acceptance rate: 20%) [ PDF | Talk ] (Code)
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AChecker: Statically Detecting Smart Contract Access Control Vulnerabilities

Asem Ghaleb, Julia Rubin, and Karthik Pattabiraman, Proceedings of the IEEE/ACM International Conference on Software Engineering (ICSE), 2023. (Acceptance Rate: 26%) [ PDF | Talk ] (Code). Artifacts available and reusable badge
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