Learning Assisted Side Channel Delay Test for Detection of Recycled ICs. - Ashkan Vakil; Farzad Niknia; Ali Mirzaeian; Avesta Sasan; Naghmeh Karimi (ASP-DAC, 2021)

Stochastic Dividers for Low Latency Neural Networks. - Shanshan Liu 001; Xiaochen Tang; Farzad Niknia; Pedro Reviriego; Weiqiang Liu 001; Ahmed Louri; Fabrizio Lombardi (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

Aging Effects on Template Attacks Launched on Dual-Rail Protected Chips. - Farzad Niknia; Jean-Luc Danger; Sylvain Guilley; Naghmeh Karimi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

A Delta Sigma Modulator-Based Stochastic Divider. - Xiaochen Tang; Shanshan Liu 001; Farzad Niknia; Pedro Reviriego; Ziheng Wang; Wei Tang 002; Ahmed Louri; Fabrizio Lombardi (IEEE Trans. Circuits Syst. I Regul. Pap., 2022)

Computing the Similarity Estimate Using Approximate Memory. - Pedro Reviriego; Shanshan Liu 001; Otmar Ertl; Farzad Niknia; Fabrizio Lombardi (IEEE Trans. Emerg. Top. Comput., 2022)

Integrating Delta Modulation and Stochastic Computing for Real-time Machine Learning based Heartbeats Monitoring in Wearable Systems. - Xiaochen Tang; Shanshan Liu 001; Farzad Niknia; Wei Tang 002; Pedro Reviriego; Fabrizio Lombardi (AICAS, 2023)

Feature-Embedding Triplet Networks with a Separately Constrained Loss Function. - Ziheng Wang; Farzad Niknia; Shanshan Liu 001; Honglan Jiang; Siting Liu 001; Pedro Reviriego; Fabrizio Lombardi (ISCAS, 2023)

Delta Sigma Modulator-Based Dividers for Accurate and Low Latency Stochastic Computing Systems. - Xiaochen Tang; Shanshan Liu 001; Farzad Niknia; Ziheng Wang; Siting Liu 001; Pedro Reviriego; Fabrizio Lombardi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Tolerance of Siamese Networks (SNs) to Memory Errors: Analysis and Design. - Ziheng Wang; Farzad Niknia; Shanshan Liu 001; Pedro Reviriego; Paolo Montuschi; Fabrizio Lombardi (IEEE Trans. Computers, 2023)

Adaptive Resolution Inference (ARI): Energy-Efficient Machine Learning for Internet of Things. - Ziheng Wang; Pedro Reviriego; Farzad Niknia; Javier Conde; Shanshan Liu 001; Fabrizio Lombardi (IEEE Internet Things J., 2024)

Concurrent Classifier Error Detection (CCED) in Large Scale Machine Learning Systems. - Pedro Reviriego; Ziheng Wang; Álvaro Alonso; Zhen Gao 005; Farzad Niknia; Shanshan Liu 001; Fabrizio Lombardi (IEEE Trans. Reliab., 2024)

Perturbation-based error detection and correction (PBEDC) in dependable large-scale machine learning systems. - Ziheng Wang; Pedro Reviriego; Shanshan Liu 001; Farzad Niknia; Xiaochen Tang; Zhen Gao 005; Fabrizio Lombardi (Future Gener. Comput. Syst., 2025)

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL). - Ziheng Wang; Pedro Reviriego; Farzad Niknia; Zhen Gao 005; Javier Conde; Shanshan Liu 001; Fabrizio Lombardi (IEEE Internet Things J., 2025)

Energy-Efficient Stochastic Computing (SC) Neural Networks for Internet of Things Devices With Layer-Wise Adjustable Sequence Length (ASL). - Ziheng Wang; Pedro Reviriego; Farzad Niknia; Zhen Gao; Javier Conde; Shanshan Liu 001; Fabrizio Lombardi (CoRR, 2025)