Automated Program Diversity Using Program Synthesis. - Abraham Chan (DSN Workshops, 2017)

IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants. - Abraham Chan; Stefan Winter 001; Habib Saissi; Karthik Pattabiraman; Neeraj Suri (ICST, 2017)

(WiP) LLTFI: Low-Level Tensor Fault Injector. - Abraham Chan; Udit Kumar Agarwal; Karthik Pattabiraman (ISSRE Workshops, 2021)

Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. - Abraham Chan; Niranjhana Narayanan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (QRS, 2021)

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 (DSN, 2022)

Towards Building Resilient Ensembles against Training Data Faults. - Abraham Chan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (DSN Workshops, 2022)

LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track). - Udit Kumar Agarwal; Abraham Chan; Karthik Pattabiraman (ISSRE, 2022)

Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults. - Udit Kumar Agarwal; Abraham Chan; Ali Asgari Khoshouyeh; Karthik Pattabiraman (DSN-S, 2023)

Resilience Assessment of Large Language Models under Transient Hardware Faults. - Udit Kumar Agarwal; Abraham Chan; Karthik Pattabiraman (ISSRE, 2023)

Building Resilient ML Applications using Ensembles against Faulty Training Data. - Abraham Chan (ISSREW, 2023)

Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. - Abraham Chan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (ISSRE, 2023)

Error Propagation Analysis for Multithreaded Programs: An Empirical Approach. - Stefan Winter 001; Abraham Chan; Habib Saissi; Karthik Pattabiraman; Neeraj Suri (CoRR, 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., 2023)

Harnessing Explainability to Improve ML Ensemble Resilience. - Abraham Chan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (DSN-S, 2024)

Tutorial: LLTFI and the Art of Fault Injection. - Karthik Pattabiraman; Abraham Chan (DSN-S, 2024)

ReMlX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data. - Abraham Chan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (DSN, 2025)

D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles. - Abraham Chan; Arpan Gujarati; Karthik Pattabiraman; Sathish Gopalakrishnan (SAC, 2025)