20 citations · 71 across the 27 of their papers we have counts for
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Is Approximation Universally Defensive Against Adversarial Attacks in Deep Neural Networks?
Ayesha Siddique, Khaza Anuarul Hoque
Approximate computing is known for its effectiveness in improvising the energy efficiency of deep neural network (DNN) accelerators at the cost of slight accuracy loss. Very recent…
Rule-based Adaptations to Control Cybersickness in Social Virtual Reality Learning Environments
Samaikya Valluripally, Vaibhav Akashe, Michael Fisher +3
Social virtual reality learning environments (VRLEs) provide immersive experience to users with increased accessibility to remote learning. Lack of maintaining high-performance and…
Exploring Fault-Energy Trade-offs in Approximate DNN Hardware Accelerators
Ayesha Siddique, Kanad Basu, Khaza Anuarul Hoque
Systolic array-based deep neural network (DNN) accelerators have recently gained prominence for their low computational cost. However, their high energy consumption poses a bottlen…