secml: A Python Library for Secure and Explainable Machine Learning
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13
Literature Database
Explainability and Adversarial Robustness for RNNs
Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Authors: Aykut Çayır, Uğur Ünal, Hasan Dağ | Published: 2019-12-20 | Updated: 2020-08-23
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations
Authors: Jeet Mohapatra, Tsui-Wei, Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2019-12-19 | Updated: 2020-06-15
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
Authors: Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen | Published: 2019-12-19
Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes
Authors: Keane Lucas, Mahmood Sharif, Lujo Bauer, Michael K. Reiter, Saurabh Shintre | Published: 2019-12-19 | Updated: 2021-10-25
Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
Authors: Nicholas Roberts, Vinay Uday Prabhu, Matthew McAteer | Published: 2019-12-19
Adversarial VC-dimension and Sample Complexity of Neural Networks
Authors: Zetong Qi, T. J. Wilder | Published: 2019-12-18
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
Authors: Simon Msika, Alejandro Quintero, Foutse Khomh | Published: 2019-12-18
Learning to Prevent Leakage: Privacy-Preserving Inference in the Mobile Cloud
Authors: Shuang Zhang, Liyao Xiang, Congcong Li, Yixuan Wang, Quanshi Zhang, Wei Wang, Bo Li | Published: 2019-12-18 | Updated: 2021-06-15