A Systematic Literature Review on Hardware Reliability Assessment
Methods for Deep Neural Networks

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

9 May 2023

Mohammad Hasan Ahmadilivani

Masoud Daneshtalab

Papers citing "A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks"

16 / 16 papers shown

Title
EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures Khurram Khalil K. A. Hoque AAML 76 0 0 24 Apr 2025
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 28 0 0 07 Apr 2025
FORTALESA: Fault-Tolerant Reconfigurable Systolic Array for DNN Inference N. Cherezova Artur Jutman M. Jenihhin 65 0 0 06 Mar 2025
Designing DNNs for a trade-off between robustness and processing performance in embedded devices Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 96 2 0 04 Dec 2024
Evaluating Single Event Upsets in Deep Neural Networks for Semantic Segmentation: an embedded system perspective Jon Gutiérrez-Zaballa Koldo Basterretxea Javier Echanobe AAML 91 5 0 04 Dec 2024
DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural Network Mohammad Hasan Ahmadilivani J. Raik Masoud Daneshtalab M. Jenihhin 24 0 0 21 Oct 2024
ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs Seyedhamidreza Mousavi Mohammad Hasan Ahmadilivani J. Raik M. Jenihhin Masoud Daneshtalab 33 2 0 10 Jun 2024
Cost-Effective Fault Tolerance for CNNs Using Parameter Vulnerability Based Hardening and Pruning Mohammad Hasan Ahmadilivani Seyedhamidreza Mousavi J. Raik Masoud Daneshtalab M. Jenihhin AAML 38 3 0 17 May 2024
SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators Mahdi Taheri Masoud Daneshtalab J. Raik M. Jenihhin Salvatore Pappalardo Paul Jiménez Bastien Deveautour A. Bosio 19 5 0 05 Mar 2024
AdAM: Adaptive Fault-Tolerant Approximate Multiplier for Edge DNN Accelerators Mahdi Taheri N. Cherezova Samira Nazari Ahsan Rafiq A. Azarpeyvand Tara Ghasempouri Masoud Daneshtalab J. Raik M. Jenihhin 22 8 0 05 Mar 2024
Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN Accelerators Mahdi Taheri N. Cherezova M. S. Ansari M. Jenihhin A. Mahani Masoud Daneshtalab J. Raik 21 12 0 17 Jan 2024
Experts' cognition-driven safe noisy labels learning for precise segmentation of residual tumor in breast cancer Yongquan Yang Jie Chen Yani Wei Mohammad H. Alobaidi Hong Bu NoLa 42 1 0 13 Apr 2023
Evaluation of Xilinx Deep Learning Processing Unit under Neutron Irradiation D. Agiakatsikas N. Foutris A. Sari V. Vlagkoulis I. Souvatzoglou M. Psarakis M. Luján M. Kastriotou C. Cazzaniga 12 6 0 04 Jun 2022
Reliability Assessment of Neural Networks in GPUs: A Framework For Permanent Faults Injections Juan-David Guerrero-Balaguera L. Galasso Robert Limas Sierra M. Reorda 11 9 0 24 May 2022
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators Ayesha Siddique K. Basu K. A. Hoque 23 13 0 08 Jan 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Muhammad Shafique Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 71 100 0 04 Jan 2021