Protecting the integrity of the training procedure of neural networks
Authors: Christian Berghoff | Published: 2020-05-14
Ethical Adversaries: Towards Mitigating Unfairness with Adversarial Machine Learning
Authors: Pieter Delobelle, Paul Temple, Gilles Perrouin, Benoît Frénay, Patrick Heymans, Bettina Berendt | Published: 2020-05-14 | Updated: 2020-09-01
Data Augmentation for Deep Candlestick Learner
Authors: Chia-Ying Tsao, Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai | Published: 2020-05-14 | Updated: 2020-05-29
Prive-HD: Privacy-Preserved Hyperdimensional Computing
Authors: Behnam Khaleghi, Mohsen Imani, Tajana Rosing | Published: 2020-05-14
Phishing URL Detection Through Top-level Domain Analysis: A Descriptive Approach
Authors: Orestis Christou, Nikolaos Pitropakis, Pavlos Papadopoulos, Sean McKeown, William J. Buchanan | Published: 2020-05-13
DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses
Authors: Yaxin Li, Wei Jin, Han Xu, Jiliang Tang | Published: 2020-05-13
Android Malware Clustering using Community Detection on Android Packages Similarity Network
Authors: ElMouatez Billah Karbab, Mourad Debbabi, Abdelouahid Derhab, Djedjiga Mouheb | Published: 2020-05-12
Towards Memory Safe Python Enclave for Security Sensitive Computation
Authors: Huibo Wang, Mingshen Sun, Qian Feng, Pei Wang, Tongxin Li, Yu Ding | Published: 2020-05-12
Perturbing Inputs to Prevent Model Stealing
Authors: Justin Grana | Published: 2020-05-12
A Secure Federated Learning Framework for 5G Networks
Authors: Yi Liu, Jialiang Peng, Jiawen Kang, Abdullah M. Iliyasu, Dusit Niyato, Ahmed A. Abd El-Latif | Published: 2020-05-12