6 citations · 7 across the 3 of their papers we have counts for
3 papers
CEG4N: Counter-Example Guided Neural Network Quantization Refinement
João Batista P. Matos, Iury Bessa, Edoardo Manino +2
Neural networks are essential components of learning-based software systems. However, their high compute, memory, and power requirements make using them in low resources domains ch…
Quantum Accelerator Stack: A Research Roadmap
K. Bertels, A. Sarkar, A. Krol +7
This paper presents the definition and implementation of a quantum computer architecture to enable creating a new computational device - a quantum computer as an accelerator In thi…
Generating Adversarial Inputs Using A Black-box Differential Technique
João Batista Pereira Matos Juúnior, Lucas Carvalho Cordeiro, Marcelo d'Amorim +1
Neural Networks (NNs) are known to be vulnerable to adversarial attacks. A malicious agent initiates these attacks by perturbing an input into another one such that the two inputs…