Christopher Frederickson

Adversarial Poisoning of Importance Weighting in Domain Adaptation

Robi Polikar, Muhammad Umer, Christopher Frederickson, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

LEVELIW: Learning extreme verification latency with importance weighting

Robi Polikar, Christopher Frederickson, Muhammad Umer, 2017, 2017 International Joint Conference on Neural Networks (IJCNN).

Learning under extreme verification latency quickly: FAST COMPOSE

Robi Polikar, Muhammad Umer, Christopher Frederickson, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

Adding adaptive intelligence to sensor systems with MASS

Robi Polikar, Christopher Frederickson, Michael Moore, 2017, 2017 IEEE Sensors Applications Symposium (SAS).

Resampling Techniques for Learning Under Extreme Verification Latency with Class Imbalance

Robi Polikar, Christopher Frederickson, R. Polikar, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning

Robi Polikar, Michael Moore, Christopher Frederickson, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

Vulnerability of Covariate Shift Adaptation Against Malicious Poisoning Attacks

Robi Polikar, Christopher Frederickson, Muhammad Umer, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).