Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators. - Ayesha Siddique; Kanad Basu; Khaza Anuarul Hoque (ISQED, 2021)

Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks? - Ayesha Siddique; Khaza Anuarul Hoque (DATE, 2022)

Security-Aware Approximate Spiking Neural Networks. - Syed Tihaam Ahmad; Ayesha Siddique; Khaza Anuarul Hoque (DATE, 2023)

Improving Reliability of Spiking Neural Networks through Fault Aware Threshold Voltage Optimization. - Ayesha Siddique; Khaza Anuarul Hoque (DATE, 2023)

RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks. - Ayesha Siddique; Ripan Kumar Kundu; Gautam Raj Mode; Khaza Anuarul Hoque (CoRR, 2023)

Exposing Reliability Degradation and Mitigation in Approximate DNNs Under Permanent Faults. - Ayesha Siddique; Khaza Anuarul Hoque (IEEE Trans. Very Large Scale Integr. Syst., 2023)

Moving Target Defense Through Approximation for Low-Power Neuromorphic Edge Intelligence. - Ayesha Siddique; Khaza Anuarul Hoque (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Explainable AI-Guided Efficient Approximate DNN Generation for Multi-Pod Systolic Arrays. - Ayesha Siddique; Khurram Khalil; Khaza Anuarul Hoque (ISQED, 2025)

ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing. - Ayesha Siddique; Khurram Khalil; Khaza Anuarul Hoque (CoRR, 2025)