On sparse connectivity, adversarial robustness, and a novel model of the artificial neuron
Authors: Sergey Bochkanov | Published: 2020-06-16
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Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
Authors: Sai Praneeth Karimireddy, Lie He, Martin Jaggi | Published: 2020-06-16 | Updated: 2023-11-22
New Interpretations of Normalization Methods in Deep Learning
Authors: Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li | Published: 2020-06-16
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Authors: Mohammadamin Tavakoli, Forest Agostinelli, Pierre Baldi | Published: 2020-06-16
DefenseVGAE: Defending against Adversarial Attacks on Graph Data via a Variational Graph Autoencoder
Authors: Ao Zhang, Jinwen Ma | Published: 2020-06-16
CryptoNAS: Private Inference on a ReLU Budget
Authors: Zahra Ghodsi, Akshaj Veldanda, Brandon Reagen, Siddharth Garg | Published: 2020-06-15 | Updated: 2021-05-13
On Adversarial Bias and the Robustness of Fair Machine Learning
Authors: Hongyan Chang, Ta Duy Nguyen, Sasi Kumar Murakonda, Ehsan Kazemi, Reza Shokri | Published: 2020-06-15
Improving Adversarial Robustness via Unlabeled Out-of-Domain Data
Authors: Zhun Deng, Linjun Zhang, Amirata Ghorbani, James Zou | Published: 2020-06-15 | Updated: 2021-02-21
Deep-CAPTCHA: a deep learning based CAPTCHA solver for vulnerability assessment
Authors: Zahra Noury, Mahdi Rezaei | Published: 2020-06-15 | Updated: 2020-06-24
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
Authors: Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz | Published: 2020-06-15 | Updated: 2021-03-15