Benchmarking Adversarial Robustness
Authors: Yinpeng Dong, Qi-An Fu, Xiao Yang, Tianyu Pang, Hang Su, Zihao Xiao, Jun Zhu | Published: 2019-12-26
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Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer
Authors: Hongyan Chang, Virat Shejwalkar, Reza Shokri, Amir Houmansadr | Published: 2019-12-24
CNN-generated images are surprisingly easy to spot… for now
Authors: Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros | Published: 2019-12-23 | Updated: 2020-04-04
Privacy Attacks on Network Embeddings
Authors: Michael Ellers, Michael Cochez, Tobias Schumacher, Markus Strohmaier, Florian Lemmerich | Published: 2019-12-23
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
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