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Hardware and software optimizations for accelerating deep neural networks: Survey of current trends, challenges, and the road ahead
Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning
(DL) is already present in many applications ranging from computer vision for medicine to …
(DL) is already present in many applications ranging from computer vision for medicine to …
A survey of bit-flip attacks on deep neural network and corresponding defense methods
C Qian, M Zhang, Y Nie, S Lu, H Cao - Electronics, 2023 - mdpi.com
As the machine learning-related technology has made great progress in recent years, deep
neural networks are widely used in many scenarios, including security-critical ones, which …
neural networks are widely used in many scenarios, including security-critical ones, which …
Securing deep spiking neural networks against adversarial attacks through inherent structural parameters
Deep Learning (DL) algorithms have gained popularity owing to their practical problem-
solving capacity. However, they suffer from a serious integrity threat, ie, their vulnerability to …
solving capacity. However, they suffer from a serious integrity threat, ie, their vulnerability to …