Malware Classification Using Deep Boosted Learning
Authors: Muhammad Asam, Saddam Hussain Khan, Tauseef Jamal, Umme Zahoora, Asifullah Khan | Published: 2021-07-08
Evaluation Method
Bayesian Attention Belief Networks
Authors: Shujian Zhang, Xinjie Fan, Bo Chen, Mingyuan Zhou | Published: 2021-06-09
On Ensemble Learning
Authors: Mark Stamp, Aniket Chandak, Gavin Wong, Allen Ye | Published: 2021-03-07
Risk Management Framework for Machine Learning Security
Authors: Jakub Breier, Adrian Baldwin, Helen Balinsky, Yang Liu | Published: 2020-12-09
Reliable Graph Neural Networks via Robust Aggregation
Authors: Simon Geisler, Daniel Zügner, Stephan Günnemann | Published: 2020-10-29
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Authors: Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann | Published: 2020-10-28 | Updated: 2021-06-11
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Authors: Jinyuan Jia, Binghui Wang, Neil Zhenqiang Gong | Published: 2020-10-26
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Authors: Yixi Xu, Sumit Mukherjee, Xiyang Liu, Shruti Tople, Rahul Dodhia, Juan Lavista Ferres | Published: 2020-09-11 | Updated: 2022-10-12
Federated Model Distillation with Noise-Free Differential Privacy
Authors: Lichao Sun, Lingjuan Lyu | Published: 2020-09-11 | Updated: 2021-05-21
Privacy-preserving feature selection: A survey and proposing a new set of protocols
Authors: Javad Rahimipour Anaraki, Saeed Samet | Published: 2020-08-17