Abraham Chan

According to our database, Abraham Chan authored at least 13 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Mixed precision support in HPC applications: What about reliability?

Alessio Netti, Yang Peng, Patrik Omland, Michael Paulitsch, Jorge Parra, Gustavo Espinosa, Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman

J. Parallel Distributed Comput., November, 2023

Error Propagation Analysis for Multithreaded Programs: An Empirical Approach.

Stefan Winter, Abraham Chan, Habib Saissi, Karthik Pattabiraman, Neeraj Suri

CoRR, 2023

Evaluating the Effect of Common Annotation Faults on Object Detection Techniques.

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Building Resilient ML Applications using Ensembles against Faulty Training Data.

Abraham Chan

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, ISSRE 2023, 2023

Resilience Assessment of Large Language Models under Transient Hardware Faults.

Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults.

Udit Kumar Agarwal, Abraham Chan, Ali Asgari Khoshouyeh, Karthik Pattabiraman

Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

2022

LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track).

Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Towards Building Resilient Ensembles against Training Data Faults.

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in Machine Learning Applications.

Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan

Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021

Understanding the Resilience of Neural Network Ensembles against Faulty Training Data.

Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan

Proceedings of the 21st IEEE International Conference on Software Quality, 2021

(WiP) LLTFI: Low-Level Tensor Fault Injector.

Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman

Proceedings of the IEEE International Symposium on Software Reliability Engineering, 2021

2017

IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants.

Abraham Chan, Stefan Winter, Habib Saissi, Karthik Pattabiraman, Neeraj Suri

Proceedings of the 2017 IEEE International Conference on Software Testing, 2017

Automated Program Diversity Using Program Synthesis.

Abraham Chan

Proceedings of the 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2017