Bayesian Neural Networks With Maximum Mean Discrepancy Regularization
Authors: Jary Pomponi, Simone Scardapane, Aurelio Uncini | Published: 2020-03-02 | Updated: 2020-09-30
トレーニング手法
Buffered Asynchronous SGD for Byzantine Learning
Authors: Yi-Rui Yang, Wu-Jun Li | Published: 2020-03-02 | Updated: 2022-01-31
FMix: Enhancing Mixed Sample Data Augmentation
Authors: Ethan Harris, Antonia Marcu, Matthew Painter, Mahesan Niranjan, Adam Prügel-Bennett, Jonathon Hare | Published: 2020-02-27 | Updated: 2021-02-28
Stealing Black-Box Functionality Using The Deep Neural Tree Architecture
Authors: Daniel Teitelman, Itay Naeh, Shie Mannor | Published: 2020-02-23
Boosting Adversarial Training with Hypersphere Embedding
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Kun Xu, Jun Zhu, Hang Su | Published: 2020-02-20 | Updated: 2020-11-25
Variational Encoder-based Reliable Classification
Authors: Chitresh Bhushan, Zhaoyuan Yang, Nurali Virani, Naresh Iyer | Published: 2020-02-19 | Updated: 2020-10-17
Randomized Smoothing of All Shapes and Sizes
Authors: Greg Yang, Tony Duan, J. Edward Hu, Hadi Salman, Ilya Razenshteyn, Jerry Li | Published: 2020-02-19 | Updated: 2020-07-23
Regularized Training and Tight Certification for Randomized Smoothed Classifier with Provable Robustness
Authors: Huijie Feng, Chunpeng Wu, Guoyang Chen, Weifeng Zhang, Yang Ning | Published: 2020-02-17
Data and Model Dependencies of Membership Inference Attack
Authors: Shakila Mahjabin Tonni, Dinusha Vatsalan, Farhad Farokhi, Dali Kaafar, Zhigang Lu, Gioacchino Tangari | Published: 2020-02-17 | Updated: 2020-07-25
Multi-Task Siamese Neural Network for Improving Replay Attack Detection
Authors: Patrick von Platen, Fei Tao, Gokhan Tur | Published: 2020-02-16