Tag Archives: conference

EdgeEngine: A Thermal-Aware Optimization Framework for Edge Inference

Posted on September 20, 2023 by | Comments Off on 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

Posted on August 7, 2023 by | Comments Off on 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). Artifacts Available and Reviewed.

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Resilience Assessment of Large Language Models under Transient Hardware Faults

Posted on August 7, 2023 by | Comments Off on 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). Artifacts Available and Reviewed.
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Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction

Posted on June 22, 2023 by | Comments Off on 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

Posted on June 16, 2023 by | Comments Off on 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 ] (code). Artifacts Available and Functional
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A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks

Posted on April 22, 2023 by | Comments Off on 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, 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

Posted on March 18, 2023 by | Comments Off on 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

Posted on December 8, 2022 by | Comments Off on 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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Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

Posted on November 23, 2022 by | Comments Off on Jujutsu: A Two-stage Defense against Adversarial Patch Attacks on Deep Neural Networks

Zitao Chen, Pritam Dash, and Karthik Pattabiraman. Proceedings of the 18th ACM ASIA Conference on Computer and Communications Security (ACM ASIACCS), 2023. (Acceptance Rate: 16%) [ PDF | Talk ] (code)
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Characterizing Variability in Heterogeneous Edge Systems: A Methodology & Case Study

Posted on September 9, 2022 by | Comments Off on Characterizing Variability in Heterogeneous Edge Systems: A Methodology & Case Study

Hazem A. Abdelhafez, Hassan Halawa, Amr Almoallim, Amirhossein Ahmadi, Karthik Pattabiraman, and Matei Ripeanu. ACM/IEEE International Symposium on Edge Computing (SEC), 2022. (Acceptance Rate: 27%) [ PDF | Talk ]
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