11 citations · 18 across the 3 of their papers we have counts for
3 papers
cs.LG2020★ 1 cited
FlexiBO: A Decoupled Cost-Aware Multi-Objective Optimization Approach for Deep Neural Networks
Md Shahriar Iqbal, Jianhai Su, Lars Kotthoff +1
The design of machine learning systems often requires trading off different objectives, for example, prediction error and energy consumption for deep neural networks (DNNs). Typica…
cs.LG2020★ 11 cited
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
Ying Meng, Jianhai Su, Jason O'Kane +1
There has been extensive research on developing defense techniques against adversarial attacks; however, they have been mainly designed for specific model families or application d…
cs.SD2018★ 6 cited
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
Qiang Zeng, Jianhai Su, Chenglong Fu +2
Adversarial examples (AEs) are crafted by adding human-imperceptible perturbations to inputs such that a machine-learning based classifier incorrectly labels them. They have become…