• AdAM: Adaptive Approximate Multiplier for Fault Tolerance in DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, MaksimIEEE transactions on device and materials reliability2024 / p. 66-75 : ill https://doi.org//10.1109/TDMR.2024.3523386
• AdAM: adaptive fault-tolerant approximate multiplier for edge DNN acceleratorsTaheri, Mahdi; Cherezova, Natalia; Nazari, Samira; Rafiq, Ahsan; Azarpeyvand, Ali; Ghasempouri, Tara; Daneshtalab, Masoud; Raik, Jaan; Jenihhin, Maksim2024 IEEE European Test Symposium (ETS): ETS 2024 : May 20-24, 2024, The Hague, Netherlands : proceedings2024 https://doi.org/10.1109/ETS61313.2024.10567161 https://www.scopus.com/sourceid/21100395950 https://www.scopus.com/record/display.uri?eid=2-s2.0-85197518684&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FETS61313.2024.10567161%29&sessionSearchId=2694adcfded71cf12565f4df31de58f5&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001260970400008
• FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNsNazari, Samira; Taheri, Mahdi; Azarpeyvand, Ali; Afsharchi, Mohsen; Ghasempouri, Tara; Herglotz, Christian; Daneshtalab, Masoud; Jenihhin, Maksim2024 IEEE 33rd Asian Test Symposium (ATS)2024 / p. 1-6 : ill https://doi.org//10.1109/ATS64447.2024.10915463 https://www.scopus.com/sourceid/14494 https://www.scopus.com/pages/publications/105001127610?inward https://www.webofscience.com/wos/woscc/full-record/WOS:001480998100043
• PATROL: an evolutionary APproach to Automatic Test Pattern Generation for hardware TROjan detection leveraging PSO-GA hybrid techniquesHosseini, Mostafa; Azarpeyvand, Ali; Ghasempouri, TaraProceedings of the 2024 IEEE 33rd Asian Test Symposium : ATS 2024 : Ahmedabad, India, 17-20 December 20242024 / 6 p. https://doi.org/10.1109/ATS64447.2024.10915294 https://www.scopus.com/sourceid/14494 https://www.scopus.com/pages/publications/105001104064?inward https://www.webofscience.com/wos/woscc/full-record/WOS:001480998100015
• Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networksParchekani, Bahram; Nazari, Samira; Ahmadilivani, Mohammad Hasan; Azarpeyvand, Ali; Raik, Jaan; Ghasempouri, Tara; Daneshtalab, Masoud37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 20242024 / 4 p. : ill https://doi.org/10.1109/DFT63277.2024.10753533 https://www.scopus.com/sourceid/21101123252 https://www.scopus.com/pages/publications/85212407196?inward https://www.webofscience.com/wos/woscc/full-record/WOS:001448004400013