A Useful Taxonomy for Adversarial Robustness of Neural Networks
Authors: Leslie N. Smith | Published: 2019-10-23
敵対的サンプル
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning
Authors: Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar | Published: 2019-10-18 | Updated: 2021-03-01
Enforcing Linearity in DNN succours Robustness and Adversarial Image Generation
Authors: Anindya Sarkar, Nikhil Kumar Gupta, Raghu Iyengar | Published: 2019-10-17 | Updated: 2019-10-21
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Authors: Yogesh Balaji, Tom Goldstein, Judy Hoffman | Published: 2019-10-17
ZO-AdaMM: Zeroth-Order Adaptive Momentum Method for Black-Box Optimization
Authors: Xiangyi Chen, Sijia Liu, Kaidi Xu, Xingguo Li, Xue Lin, Mingyi Hong, David Cox | Published: 2019-10-15 | Updated: 2019-10-16
Adversarial Training: embedding adversarial perturbations into the parameter space of a neural network to build a robust system
Authors: Shixian Wen, Laurent Itti | Published: 2019-10-09
Deep Latent Defence
Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations
Authors: Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Jeremy Dawson, Nasser M. Nasrabadi | Published: 2019-10-08
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions
Authors: He Zhao, Trung Le, Paul Montague, Olivier De Vel, Tamas Abraham, Dinh Phung | Published: 2019-10-03
Cross-Layer Strategic Ensemble Defense Against Adversarial Examples
Authors: Wenqi Wei, Ling Liu, Margaret Loper, Ka-Ho Chow, Emre Gursoy, Stacey Truex, Yanzhao Wu | Published: 2019-10-01