publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2024

  1. ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs
    Seyedhamidreza Mousavi, Mohammad Hasan Ahmadilivani, Jaan Raik, and 2 more authors
    arXiv preprint arXiv:2406.06313, 2024
  2. Cost-effective fault tolerance for cnns using parameter vulnerability based hardening and pruning
    Mohammad Hasan Ahmadilivani, Seyedhamidreza Mousavi, Jaan Raik, and 2 more authors
    In 2024 IEEE 30th International Symposium on On-Line Testing and Robust System Design (IOLTS), 2024

2023

  1. FARMUR: fair adversarial retraining to mitigate unfairness in robustness
    Seyed Ali Mousavi, Hamid Mousavi, and Masoud Daneshtalab
    In European Conference on Advances in Databases and Information Systems, 2023
  2. Analysing robustness of tiny deep neural networks
    Hamid Mousavi, Ali Zoljodi, and Masoud Daneshtalab
    In European Conference on Advances in Databases and Information Systems, 2023
  3. DASS: differentiable architecture search for sparse neural networks
    Hamid Mousavi, Mohammad Loni, Mina Alibeigi, and 1 more author
    ACM Transactions on Embedded Computing Systems, 2023
  4. Efficient On-device Transfer Learning using Activation Memory Reduction
    Amin Yoosefi, Hamid Mousavi, Masoud Daneshtalab, and 1 more author
    In 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), 2023

2022

  1. Tas: ternarized neural architecture search for resource-constrained edge devices
    Mohammad Loni, Hamid Mousavi, Mohammad Riazati, and 2 more authors
    In 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
  2. Stealthy attack on algorithmic-protected dnns via smart bit flipping
    Behnam Ghavami, Seyd Movi, Zhenman Fang, and 1 more author
    In 2022 23rd International Symposium on Quality Electronic Design (ISQED), 2022
  3. GTFLAT: Game Theory Based Add-On For Empowering Federated Learning Aggregation Techniques
    Hamidreza Mahini, Hamid Mousavi, and Masoud Daneshtalab
    arXiv preprint arXiv:2212.04103, 2022

2020

  1. Aadam: A fast, accurate, and versatile aging-aware cell library delay model using feed-forward neural network
    Seyed Milad Ebrahimipour, Behnam Ghavami, Hamid Mousavi, and 3 more authors
    In Proceedings of the 39th International Conference on Computer-Aided Design, 2020