Malware Detection using Machine Learning and Deep Learning
Authors: Hemant Rathore, Swati Agarwal, Sanjay K. Sahay, Mohit Sewak | Published: 2019-04-04
深層学習手法
Bayesian Differential Privacy for Machine Learning
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-01-28 | Updated: 2020-08-19
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
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
Federated Optimization in Heterogeneous Networks
Authors: Tian Li, Anit Kumar Sahu, Manzil Zaheer, Maziar Sanjabi, Ameet Talwalkar, Virginia Smith | Published: 2018-12-14 | Updated: 2020-04-21
Evidential Deep Learning to Quantify Classification Uncertainty
Authors: Murat Sensoy, Lance Kaplan, Melih Kandemir | Published: 2018-06-05 | Updated: 2018-10-31
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks
Authors: Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas | Published: 2018-05-31
Two-Stream Neural Networks for Tampered Face Detection
Authors: Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis | Published: 2018-03-29