|
| | Preview | Authors / Editors | Title | Type | Issue Date |
| 1 | | Dave, 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 Systems | Inproceedings Konferenzbeitrag  | 2022 |
| 2 | | Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad | SoftSNN: Low-Cost Fault Tolerance for Spiking Neural Network Accelerators under Soft Errors | Inproceedings Konferenzbeitrag | 2022 |
| 3 | | Ahmadi, Mahya Morid ; Alrahis, Lilas ; Colucci, Alessio ; Sinanoglu, Ozgur ; Shafique, Muhammad | NeuroUnlock: Unlocking the Architecture of Obfuscated Deep Neural Networks | Inproceedings Konferenzbeitrag | 2022 |
| 4 | | Wicaksana Putra, Rachmad Vidya ; Shafique, Muhammad | lpSpikeCon: Enabling Low-Precision Spiking Neural Network Processing for Efficient Unsupervised Continual Learning on Autonomous Agents | Inproceedings Konferenzbeitrag | 2022 |
| 5 | | Marchisio, Alberto ; Caramia, Giovanni ; Martina, Maurizio ; Shafique, Muhammad | fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems | Inproceedings Konferenzbeitrag | 2022 |
| 6 | | Colucci, Alessio ; Steininger, Andreas ; Shafique, Muhammad | enpheeph: A Fault Injection Framework for Spiking and Compressed Deep Neural Networks | Inproceedings Konferenzbeitrag | 2022 |
| 7 | | Putra, Rachmad Vidya Wicaksana ; Hanif, Muhammad Abdullah ; Shafique, Muhammad | EnforceSNN: Enabling resilient and energy-efficient spiking neural network inference considering approximate DRAMs for embedded systems | Article Artikel | 2022 |
| 8 | | Marchisio, Alberto ; Bussolino, Beatrice ; Salvati, Edoardo ; Martina, Maurizio ; Masera, Guido ; Shafique, Muhammad | Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations | Inproceedings Konferenzbeitrag | 2022 |
| 9 | | Bhatti, Iram Tariq ; Naseer, Mahum ; Shafique, Muhammad ; Hasan, Osman | A formal approach to identifying the impact of noise on neural networks | Article Artikel | 2022 |
