194 citations · 413 across the 11 of their papers we have counts for
4 papers · 1 filter
Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection
Hongyu Xu, Xutao Lv, Xiaoyu Wang +3
In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…
An Aggressive Genetic Programming Approach for Searching Neural Network Structure Under Computational Constraints
Zhe Li, Xuehan Xiong, Zhou Ren +3
Recently, there emerged revived interests of designing automatic programs (e.g., using genetic/evolutionary algorithms) to optimize the structure of Convolutional Neural Networks (…
Adversarial Attacks and Defences Competition
Alexey Kurakin, Ian Goodfellow, Samy Bengio +20
To accelerate research on adversarial examples and robustness of machine learning classifiers, Google Brain organized a NIPS 2017 competition that encouraged researchers to develop…
Improving Transferability of Adversarial Examples with Input Diversity
Cihang Xie, Zhishuai Zhang, Yuyin Zhou +4
Though CNNs have achieved the state-of-the-art performance on various vision tasks, they are vulnerable to adversarial examples --- crafted by adding human-imperceptible perturbati…