4 papers
CEAR: Certified Ensemble Adversarial Robustness in DNNs
Daniel Sadig, Mohammadreza Maleki, Hamed Karimi +1
Deep Neural Networks (DNNs) are highly susceptible to adversarial perturbations, leading to extensive research on robustness for safety-critical applications. State-of-the-art empi…
SISA: A Scale-In Systolic Array for GEMM Acceleration
Luigi Altamura, Alessio Cicero, Mateo Vázquez Maceiras +3
The currently dominant AI/ML workloads, such as Large Language Models (LLMs), rely on the efficient execution of General Matrix-Matrix Multiplication (GEMM) operations. Thus, most…
An Analytical Cost Model for Fast Evaluation of Multiple Compute-Engine CNN Accelerators
Fareed Qararyah, Mohammad Ali Maleki, Pedro Trancoso
Convolutional Neural Networks (CNNs) serve various applications with diverse performance and resource requirements. Model-aware CNN accelerators best address these diverse requirem…
Simulation of Quantum Computers: Review and Acceleration Opportunities
Alessio Cicero, Mohammad Ali Maleki, Muhammad Waqar Azhar +2
Quantum computing has the potential to revolutionize multiple fields by solving complex problems that can not be solved in reasonable time with current classical computers. Neverth…