NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Authors: Valerio Venceslai, Alberto Marchisio, Ihsen Alouani, Maurizio Martina, Muhammad Shafique | Published: 2020-05-16
Encryption Inspired Adversarial Defense for Visual Classification
Authors: MaungMaung AprilPyone, Hitoshi Kiya | Published: 2020-05-16
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data
Authors: Deepesh Data, Suhas Diggavi | Published: 2020-05-16
Towards Assessment of Randomized Smoothing Mechanisms for Certifying Adversarial Robustness
Authors: Tianhang Zheng, Di Wang, Baochun Li, Jinhui Xu | Published: 2020-05-15 | Updated: 2020-06-07
A Deep Learning-based Fine-grained Hierarchical Learning Approach for Robust Malware Classification
Authors: Ahmed Abusnaina, Mohammed Abuhamad, Hisham Alasmary, Afsah Anwar, Rhongho Jang, Saeed Salem, DaeHun Nyang, David Mohaisen | Published: 2020-05-14 | Updated: 2020-05-15
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