MDLdroid: a ChainSGD-reduce Approach to Mobile Deep Learning for Personal Mobile Sensing
Authors: Yu Zhang, Tao Gu, Xi Zhang | Published: 2020-02-07 | Updated: 2020-02-15
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Manipulating Reinforcement Learning: Poisoning Attacks on Cost Signals
Authors: Yunhan Huang, Quanyan Zhu | Published: 2020-02-07 | Updated: 2020-07-20
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
Authors: Meet P. Vadera, Satya Narayan Shukla, Brian Jalaian, Benjamin M. Marlin | Published: 2020-02-07
Can’t Boil This Frog: Robustness of Online-Trained Autoencoder-Based Anomaly Detectors to Adversarial Poisoning Attacks
Authors: Moshe Kravchik, Asaf Shabtai | Published: 2020-02-07
Equivalence relations and $L^p$ distances between time series with application to the Black Summer Australian bushfires
Authors: Nick James, Max Menzies | Published: 2020-02-07 | Updated: 2023-02-28
Over-the-Air Adversarial Attacks on Deep Learning Based Modulation Classifier over Wireless Channels
Authors: Brian Kim, Yalin E. Sagduyu, Kemal Davaslioglu, Tugba Erpek, Sennur Ulukus | Published: 2020-02-05 | Updated: 2020-02-13
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
Authors: David Mickisch, Felix Assion, Florens Greßner, Wiebke Günther, Mariele Motta | Published: 2020-02-05
Knowledge Federation: A Unified and Hierarchical Privacy-Preserving AI Framework
Authors: Hongyu Li, Dan Meng, Hong Wang, Xiaolin Li | Published: 2020-02-05 | Updated: 2020-05-22
Minimax Defense against Gradient-based Adversarial Attacks
Authors: Blerta Lindqvist, Rauf Izmailov | Published: 2020-02-04
Adversarial Machine Learning — Industry Perspectives
Authors: Ram Shankar Siva Kumar, Magnus Nyström, John Lambert, Andrew Marshall, Mario Goertzel, Andi Comissoneru, Matt Swann, Sharon Xia | Published: 2020-02-04 | Updated: 2021-03-19