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
文献データベース
Membership Model Inversion Attacks for Deep Networks
Authors: Samyadeep Basu, Rauf Izmailov, Chris Mesterharm | Published: 2019-10-09
Defensive Escort Teams via Multi-Agent Deep Reinforcement Learning
Authors: Arpit Garg, Yazied A. Hasan, Adam Yañez, Lydia Tapia | Published: 2019-10-09
Deep Latent Defence
Authors: Giulio Zizzo, Chris Hankin, Sergio Maffeis, Kevin Jones | Published: 2019-10-09 | Updated: 2020-09-27
Adversarial Learning of Deepfakes in Accounting
Authors: Marco Schreyer, Timur Sattarov, Bernd Reimer, Damian Borth | Published: 2019-10-09
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
Directional Adversarial Training for Cost Sensitive Deep Learning Classification Applications
Authors: Matteo Terzi, Gian Antonio Susto, Pratik Chaudhari | Published: 2019-10-08
Detecting AI Trojans Using Meta Neural Analysis
Authors: Xiaojun Xu, Qi Wang, Huichen Li, Nikita Borisov, Carl A. Gunter, Bo Li | Published: 2019-10-08 | Updated: 2020-10-01
Sequence embeddings help to identify fraudulent cases in healthcare insurance
Authors: I. Fursov, A. Zaytsev, R. Khasyanov, M. Spindler, E. Burnaev | Published: 2019-10-07
Algorithmic Probability-guided Supervised Machine Learning on Non-differentiable Spaces
Authors: Santiago Hernández-Orozco, Hector Zenil, Jürgen Riedel, Adam Uccello, Narsis A. Kiani, Jesper Tegnér | Published: 2019-10-07 | Updated: 2019-10-08