Method for Pseudo-probabilistic Block Encryption. - Nikolay Andreevich Moldovyan; Alexander Andreevich Moldovyan; Duc Tam Nguyen; Hai Nguyen Nam; Minh Nguyen Hieu 001 (INISCOM, 2017)

Consistency-based anomaly detection with adaptive multiple-hypotheses predictions. - Duc Tam Nguyen; Zhongyu Lou; Michael Klar; Thomas Brox (CoRR, 2018)

Anomaly Detection With Multiple-Hypotheses Predictions. - Duc Tam Nguyen; Zhongyu Lou; Michael Klar; Thomas Brox (ICML, 2019)

DeepUSPS: Deep Robust Unsupervised Saliency Prediction via Self-supervision. - Duc Tam Nguyen; Maximilian Dax; Chaithanya Kumar Mummadi; Thi-Phuong-Nhung Ngo; Thi Hoai Phuong Nguyen; Zhongyu Lou; Thomas Brox (NeurIPS, 2019)

Robust Learning Under Label Noise With Iterative Noise-Filtering. - Duc Tam Nguyen; Thi-Phuong-Nhung Ngo; Zhongyu Lou; Michael Klar; Laura Beggel; Thomas Brox (CoRR, 2019)

DeepUSPS: Deep Robust Unsupervised Saliency Prediction With Self-Supervision. - Duc Tam Nguyen; Maximilian Dax; Chaithanya Kumar Mummadi; Thi-Phuong-Nhung Ngo; Thi Hoai Phuong Nguyen; Zhongyu Lou; Thomas Brox (CoRR, 2019)

Pseudo-probabilistic block ciphers and their randomization. - Nikolay Andreevich Moldovyan; Alexander Andreevich Moldovyan; Duc Tam Nguyen; Nam Hai Nguyen; Cong Manh Tran; Minh Nguyen Hieu 001 (J. Ambient Intell. Humaniz. Comput., 2019)

SELF: Learning to Filter Noisy Labels with Self-Ensembling. - Duc Tam Nguyen; Chaithanya Kumar Mummadi; Thi-Phuong-Nhung Ngo; Thi Hoai Phuong Nguyen; Laura Beggel; Thomas Brox (ICLR, 2020)

Robust deep learning for computer vision to counteract data scarcity and label noise. - Duc Tam Nguyen (2020)

Explicitly Modeled Attention Maps for Image Classification. - Andong Tan; Duc Tam Nguyen; Maximilian Dax; Matthias Nießner; Thomas Brox (AAAI, 2021)