Convergence of Adversarial Training in Overparametrized Neural Networks
Authors: Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee | Published: 2019-06-19 | Updated: 2019-11-09
深層学習手法
Real or Fake? Learning to Discriminate Machine from Human Generated Text
Authors: Anton Bakhtin, Sam Gross, Myle Ott, Yuntian Deng, Marc'Aurelio Ranzato, Arthur Szlam | Published: 2019-06-07 | Updated: 2019-11-25
Can You Trust Your Model’s Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift
Authors: Yaniv Ovadia, Emily Fertig, Jie Ren, Zachary Nado, D Sculley, Sebastian Nowozin, Joshua V. Dillon, Balaji Lakshminarayanan, Jasper Snoek | Published: 2019-06-06 | Updated: 2019-12-17
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models
Authors: Paweł Morawiecki, Przemysław Spurek, Marek Śmieja, Jacek Tabor | Published: 2019-06-03 | Updated: 2019-07-03
IoT Network Security from the Perspective of Adversarial Deep Learning
Authors: Yalin E. Sagduyu, Yi Shi, Tugba Erpek | Published: 2019-05-31
Unlabeled Data Improves Adversarial Robustness
Authors: Yair Carmon, Aditi Raghunathan, Ludwig Schmidt, Percy Liang, John C. Duchi | Published: 2019-05-31 | Updated: 2022-01-13
L0 Regularization Based Neural Network Design and Compression
Authors: S. Asim Ahmed | Published: 2019-05-31
Defending Against Neural Fake News
Authors: Rowan Zellers, Ari Holtzman, Hannah Rashkin, Yonatan Bisk, Ali Farhadi, Franziska Roesner, Yejin Choi | Published: 2019-05-29 | Updated: 2020-12-11
A Compendium on Network and Host based Intrusion Detection Systems
Authors: Rahul-Vigneswaran K, Prabaharan Poornachandran, Soman KP | Published: 2019-04-06
Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks
Authors: Fatemeh Sheikholeslami, Swayambhoo Jain, Georgios B. Giannakis | Published: 2019-04-05 | Updated: 2020-10-15