Full name Familienname, Vorname
Shafique, Muhammad
 

Results 1-9 of 9 (Search time: 0.002 seconds).

PreviewAuthors / EditorsTitleTypeIssue Date
1Dave, Shail ; Marchisio, Alberto ; Hanif, Muhammad Abdullah ; Guesmi, Amira ; Shrivastava, Aviral ; Alouani, Ihsen ; Shafique, Muhammad Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML SystemsInproceedings Konferenzbeitrag 2022
2Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft ErrorsInproceedings Konferenzbeitrag 2022
3Ahmadi, Mahya Morid ; Alrahis, Lilas ; Colucci, Alessio ; Sinanoglu, Ozgur ; Shafique, Muhammad NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural NetworksInproceedings Konferenzbeitrag 2022
4Wicaksana Putra, Rachmad Vidya ; Shafique, Muhammad lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous AgentsInproceedings Konferenzbeitrag 2022
5Marchisio, Alberto ; Caramia, Giovanni ; Martina, Maurizio ; Shafique, Muhammad fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous SystemsInproceedings Konferenzbeitrag 2022
6Colucci, Alessio ; Steininger, Andreas ; Shafique, Muhammad enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural NetworksInproceedings Konferenzbeitrag 2022
7Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systemsArticle Artikel 2022
8Marchisio, Alberto ; Bussolino, Beatrice ; Salvati, Edoardo ; Martina, Maurizio ; Masera, Guido ; Shafique, Muhammad Enabling Capsule Networks at the Edge through Approximate Softmax and Squash OperationsInproceedings Konferenzbeitrag 2022
9Bhatti, Iram Tariq ; Naseer, Mahum ; Shafique, Muhammad ; Hasan, Osman A formal approach to identifying the impact of noise on neural networksArticle Artikel 2022