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
Robust Federated Recommendation System
Authors: Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan Kankanhalli, Gang Chen | Published: 2020-06-15
Privacy-Preserving Technology to Help Millions of People: Federated Prediction Model for Stroke Prevention
Authors: Ce Ju, Ruihui Zhao, Jichao Sun, Xiguang Wei, Bo Zhao, Yang Liu, Hongshan Li, Tianjian Chen, Xinwei Zhang, Dashan Gao, Ben Tan, Han Yu, Chuning He, Yuan Jin | Published: 2020-06-15 | Updated: 2020-12-15
Self-supervised Learning: Generative or Contrastive
Authors: Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang | Published: 2020-06-15 | Updated: 2021-03-20