182 citations · 357 across the 14 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.CR2018★ 21 cited
Generating 3D Adversarial Point Clouds
Chong Xiang, Charles R. Qi, Bo Li
Deep neural networks are known to be vulnerable to adversarial examples which are carefully crafted instances to cause the models to make wrong predictions. While adversarial examp…
cs.CV2018★ 2 cited
The Helmholtz Method: Using Perceptual Compression to Reduce Machine Learning Complexity
Gerald Friedland, Jingkang Wang, Ruoxi Jia +1
This paper proposes a fundamental answer to a frequently asked question in multimedia computing and machine learning: Do artifacts from perceptual compression contribute to error i…
cs.LG2018★ 6 cited
Performing Co-Membership Attacks Against Deep Generative Models
Kin Sum Liu, Chaowei Xiao, Bo Li +1
In this paper we propose a new membership attack method called co-membership attacks against deep generative models including Variational Autoencoders (VAEs) and Generative Adversa…