Robust binary classification with the 01 loss
Authors: Yunzhe Xue, Meiyan Xie, Usman Roshan | Published: 2020-02-09
Input Validation for Neural Networks via Runtime Local Robustness Verification
Authors: Jiangchao Liu, Liqian Chen, Antoine Mine, Ji Wang | Published: 2020-02-09 | Updated: 2024-02-13
MDEA: Malware Detection with Evolutionary Adversarial Learning
Authors: Xiruo Wang, Risto Miikkulainen | Published: 2020-02-09 | Updated: 2020-04-17
Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness
Authors: Aounon Kumar, Alexander Levine, Tom Goldstein, Soheil Feizi | Published: 2020-02-08 | Updated: 2020-08-14
Analysis of Random Perturbations for Robust Convolutional Neural Networks
Authors: Adam Dziedzic, Sanjay Krishnan | Published: 2020-02-08 | Updated: 2020-06-07
Certified Robustness to Label-Flipping Attacks via Randomized Smoothing
Authors: Elan Rosenfeld, Ezra Winston, Pradeep Ravikumar, J. Zico Kolter | Published: 2020-02-07 | Updated: 2020-08-11
Renofeation: A Simple Transfer Learning Method for Improved Adversarial Robustness
Authors: Ting-Wu Chin, Cha Zhang, Diana Marculescu | Published: 2020-02-07 | Updated: 2021-04-28
MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Authors: Yu Zhang, Tao Gu, Xi Zhang | Published: 2020-02-07 | Updated: 2020-02-15
Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
Authors: Yunhan Huang, Quanyan Zhu | Published: 2020-02-07 | Updated: 2020-07-20
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07