Bayesian Differential Privacy for Machine Learning
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-01-28 | Updated: 2020-08-19
文献データベース
Interpretable Complex-Valued Neural Networks for Privacy Protection
Authors: Liyao Xiang, Haotian Ma, Hao Zhang, Yifan Zhang, Jie Ren, Quanshi Zhang | Published: 2019-01-28 | Updated: 2020-01-14
Improving Adversarial Robustness via Promoting Ensemble Diversity
Authors: Tianyu Pang, Kun Xu, Chao Du, Ning Chen, Jun Zhu | Published: 2019-01-25 | Updated: 2019-05-29
Sitatapatra: Blocking the Transfer of Adversarial Samples
Authors: Ilia Shumailov, Xitong Gao, Yiren Zhao, Robert Mullins, Ross Anderson, Cheng-Zhong Xu | Published: 2019-01-23 | Updated: 2019-11-21
PD-ML-Lite: Private Distributed Machine Learning from Lighweight Cryptography
Authors: Maksim Tsikhanovich, Malik Magdon-Ismail, Muhammad Ishaq, Vassilis Zikas | Published: 2019-01-23 | Updated: 2019-04-10
Universal Rules for Fooling Deep Neural Networks based Text Classification
Authors: Di Li, Danilo Vasconcellos Vargas, Sakurai Kouichi | Published: 2019-01-22 | Updated: 2019-04-03
A Conjoint Application of Data Mining Techniques for Analysis of Global Terrorist Attacks — Prevention and Prediction for Combating Terrorism
Authors: Vivek Kumar, Manuel Mazzara, Maj. Gen., Angelo Messina, JooYoung Lee | Published: 2019-01-19 | Updated: 2019-02-21
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System
Authors: Huangxun Chen, Chenyu Huang, Qianyi Huang, Qian Zhang, Wei Wang | Published: 2019-01-12 | Updated: 2020-01-14
FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals
Authors: Umur Aybars Ciftci, Ilke Demir | Published: 2019-01-08 | Updated: 2020-07-19
Differentially Private ADMM for Distributed Medical Machine Learning
Authors: Jiahao Ding, Xiaoqi Qin, Wenjun Xu, Yanmin Gong, Chi Zhang, Miao Pan | Published: 2019-01-07 | Updated: 2020-12-09