Hardware Fault Compensation Using Discriminative Learning. - Farah Naz Taher; Joseph Callenes-Sloan (PRDC, 2015)

A machine learning based hard fault recuperation model for approximate hardware accelerators. - Farah Naz Taher; Joseph Callenes-Sloan; Benjamin Carrión Schäfer (DAC, 2018)

Design and Optimization of Reliable Hardware Accelerators: Leveraging the Advantages of High-Level Synthesis. - Farah Naz Taher; Mostafa Kishani; Benjamin Carrión Schäfer (IOLTS, 2018)

Common-Mode Failure Mitigation: Increasing Diversity through High-Level Synthesis. - Farah Naz Taher; Matthew Joslin; Anjana Balachandran; Zhiqi Zhu; Benjamin Carrión Schäfer (DATE, 2019)

Efficient Hardware Acceleration for Design Diversity Calculation to Mitigate Common Mode Failures. - Maheshwaran Ramesh Babu; Farah Naz Taher; Anjana Balachandran; Benjamin Carrión Schäfer (FCCM, 2019)

Exploring Design Trade-offs in Fault-Tolerant Behavioral Hardware Accelerators. - Zhiqi Zhu; Farah Naz Taher; Benjamin Carrión Schäfer (ACM Great Lakes Symposium on VLSI, 2019)

Learning-Based Diversity Estimation: Leveraging the Power of High-Level Synthesis to Mitigate Common-Mode Failure. - Farah Naz Taher; Anjana Balachandran; Benjamin Carrión Schäfer (ICCD, 2019)