3 papers
TaxoNN: A Light-Weight Accelerator for Deep Neural Network Training
Reza Hojabr, Kamyar Givaki, Kossar Pourahmadi +4
Emerging intelligent embedded devices rely on Deep Neural Networks (DNNs) to be able to interact with the real-world environment. This interaction comes with the ability to retrain…
Unlucky Explorer: A Complete non-Overlapping Map Exploration
Mohammad Sina Kiarostami, Saleh Khalaj Monfared, Mohammadreza Daneshvaramoli +4
Nowadays, the field of Artificial Intelligence in Computer Games (AI in Games) is going to be more alluring since computer games challenge many aspects of AI with a wide range of p…
A Way Around UMIP and Descriptor-Table Exiting via TSX-based Side-Channel
Mohammad Sina Karvandi, Saleh Khalaj Monfared, Mohammad Sina Kiarostami +2
Nowadays, in operating systems, numerous protection mechanisms prevent or limit the user-mode applicationsto access the kernels internal information. This is regularlycarried out b…