Expected Tight Bounds for Robust Training
Authors: Salman Alsubaihi, Adel Bibi, Modar Alfadly, Abdullah Hamdi, Bernard Ghanem | Published: 2019-05-28 | Updated: 2021-06-12
Literature Database
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set
Authors: Simon Duque Anton, Suneetha Kanoor, Daniel Fraunholz, Hans Dieter Schotten | Published: 2019-05-28
Improving the Robustness of Deep Neural Networks via Adversarial Training with Triplet Loss
Authors: Pengcheng Li, Jinfeng Yi, Bowen Zhou, Lijun Zhang | Published: 2019-05-28
Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods
Authors: Simon Duque Antón, Michael Gundall, Daniel Fraunholz, Hans Dieter Schotten | Published: 2019-05-28
Adversarially Robust Learning Could Leverage Computational Hardness
Authors: Sanjam Garg, Somesh Jha, Saeed Mahloujifar, Mohammad Mahmoody | Published: 2019-05-28 | Updated: 2019-12-19
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
Authors: Hosnieh Sattar, Katharina Krombholz, Gerard Pons-Moll, Mario Fritz | Published: 2019-05-27 | Updated: 2020-10-22
GAT: Generative Adversarial Training for Adversarial Example Detection and Robust Classification
Authors: Xuwang Yin, Soheil Kolouri, Gustavo K. Rohde | Published: 2019-05-27 | Updated: 2022-10-01
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$
Authors: Francesco Croce, Matthias Hein | Published: 2019-05-27 | Updated: 2020-04-24
Fooling Detection Alone is Not Enough: First Adversarial Attack against Multiple Object Tracking
Authors: Yunhan Jia, Yantao Lu, Junjie Shen, Qi Alfred Chen, Zhenyu Zhong, Tao Wei | Published: 2019-05-27 | Updated: 2019-05-30
Non-Determinism in Neural Networks for Adversarial Robustness
Authors: Daanish Ali Khan, Linhong Li, Ninghao Sha, Zhuoran Liu, Abelino Jimenez, Bhiksha Raj, Rita Singh | Published: 2019-05-26