| 2026 | DSN | Thinking Inside the Box: Injecting Realistic Radiation Faults in ML Accelerators. | Bruno Loureiro Coelho, Mani Sadati, Abraham Chan, Alex Hands, Karthik Pattabiraman, Paolo Rech |
| 2026 | SAFECOMP | The Statistical Assessment of Bayes-"sub"Optimal Binary Machine Learning Classifier Risk. | Abraham Chan, Ilir Gashi, Sathish Gopalakrishnan, Karthik Pattabiraman, Kizito Salako |
| 2025 | DSN | ReMlX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2025 | ISSRE | DLAFI: Software-Based Fault Injection for Permanent Faults in Deep Learning Accelerators. | SeyedMani Sadati, Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman |
| 2025 | SAC | D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2024 | DSN | Harnessing Explainability to Improve ML Ensemble Resilience. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2024 | DSN | Tutorial: LLTFI and the Art of Fault Injection. | Karthik Pattabiraman, Abraham Chan |
| 2023 | DSN | Towards Reliability Assessment of Systolic Arrays against Stuck-at Faults. | Udit Kumar Agarwal, Abraham Chan, Ali Asgari Khoshouyeh, Karthik Pattabiraman |
| 2023 | ISSRE | Resilience Assessment of Large Language Models under Transient Hardware Faults. | Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2023 | ISSRE | Building Resilient ML Applications using Ensembles against Faulty Training Data. | Abraham Chan |
| 2023 | ISSRE | Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2022 | DSN | 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 |
| 2022 | DSN | Towards Building Resilient Ensembles against Training Data Faults. | Abraham Chan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2022 | ISSRE | LLTFI: Framework Agnostic Fault Injection for Machine Learning Applications (Tools and Artifact Track). | Udit Kumar Agarwal, Abraham Chan, Karthik Pattabiraman |
| 2021 | ISSRE | (WiP) LLTFI: Low-Level Tensor Fault Injector. | Abraham Chan, Udit Kumar Agarwal, Karthik Pattabiraman |
| 2021 | QRS | Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. | Abraham Chan, Niranjhana Narayanan, Arpan Gujarati, Karthik Pattabiraman, Sathish Gopalakrishnan |
| 2017 | DSN | Automated Program Diversity Using Program Synthesis. | Abraham Chan |
| 2017 | ICST | IPA: Error Propagation Analysis of Multi-Threaded Programs Using Likely Invariants. | Abraham Chan, Stefan Winter, Habib Saissi, Karthik Pattabiraman, Neeraj Suri |