Tag Archives: Justin

Fault Injection for TensorFlow Applications

Posted on May 10, 2022 by | Comments Off on Fault Injection for TensorFlow Applications

Niranjhana Narayanan, Zitao Chen, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, IEEE Transactions on Dependable and Secure Computing (TDSC). Acceptance Date: May 2022. [ PDF ] (code1, code2)
Continue reading →

Comments Off on Fault Injection for TensorFlow Applications

Posted in papers

Tagged , , , , , , , ,

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).
Continue reading →

Comments Off on PID-Piper: Recovering Robotic Vehicles from Physical Attacks

Posted in papers

Tagged , , , , , , , , ,

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).
Continue reading →

Comments Off on A Low-cost Fault Corrector for Deep Neural Networks through Range Restriction

Posted in papers

Tagged , , , , , , , ,

TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

Posted on August 14, 2020 by | Comments Off on TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

Zitao Chen, Niranjhana Narayanan, Bo Fang, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2020. (Acceptance Rate: 26%) [ PDF | Talk ] (Code)
Continue reading →

Comments Off on TensorFI: A Flexible Fault Injection Framework for TensorFlow Applications

Posted in papers

Tagged , , , , , , , ,

GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs

Posted on June 30, 2020 by | Comments Off on GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs

Abdul Rehman Anwer, Guanpeng Li, Karthik Pattabiraman, Michael Sullivan, Timothy Tsai and Siva Hari, ACM International Conference on High-Performance Computing, Networking, Storage, and Analyzis (SC), 2020 (Acceptance Rate: 25.1%) [PDF | Talk] (Code)
Continue reading →

Comments Off on GPU-TRIDENT: Efficient Modeling of Error Propagation in GPU Programs

Posted in papers

Tagged , , , , , ,

Improving the Accuracy of IR-Level Fault Injection

Posted on April 4, 2020 by | Comments Off on Improving the Accuracy of IR-Level Fault Injection

Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman, IEEE Transactions on Dependable and Secure Computing (TDSC). (Acceptance date: March 2020). [PDF] (Code)
Continue reading →

Comments Off on Improving the Accuracy of IR-Level Fault Injection

Posted in papers

Tagged , , , , , ,

A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

Posted on July 21, 2019 by | Comments Off on A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

Lucas Palazzi, Guanpeng Li, Bo Fang, and Karthik Pattabiraman, IEEE International Symposium on Software Reliability Engineering (ISSRE), 2019. (Acceptance Rate: 31.4%) [ PDF | Talk ] (code)
Continue reading →

Comments Off on A Tale of Two Injectors: End-to-End Comparison of IR-level and Assembly-Level Fault Injection

Posted in papers

Tagged , , , , , , ,

BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

Posted on June 16, 2019 by | Comments Off on BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

Zitao Chen, Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2019. (Acceptance Rate: 21%) [ PDF | Talk ] ( Code Finalist for the SC reproducibility challenge (one of 3 papers))
Continue reading →

Comments Off on BinFI: An Efficient Fault Injector for Safety-Critical Machine Learning Systems

Posted in papers

Tagged , , , , , ,

TensorFI: A Configurable Fault Injector for TensorFlow Applications

Posted on October 15, 2018 by | Comments Off on TensorFI: A Configurable Fault Injector for TensorFlow Applications

Guanpeng Li, Karthik Pattabiraman, and Nathan DeBardeleben, Workshop on Software Certification (WoSoCER), 2018, co-located with the IEEE International Symposium on Software Reliability Engineering (ISSRE). 2018. [ PDF | Talk Slides ] (Code)
Continue reading →

Comments Off on TensorFI: A Configurable Fault Injector for TensorFlow Applications

Posted in papers

Tagged , , , ,

Modeling Soft-Error Propagation in Programs

Posted on March 4, 2018 by | 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)
Continue reading →

Comments Off on Modeling Soft-Error Propagation in Programs

Posted in papers

Tagged , , , , , ,