André T. Nguyen

According to our database, André T. Nguyen authored at least 16 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training.

Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff

CoRR, 2022

Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis?

André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

Proceedings of the Conference on Applied Machine Learning in Information Security, 2022

Out of Distribution Data Detection Using Dropout Bayesian Neural Networks.

André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches.

Fred S. Lu, André T. Nguyen, Nicholas B. Link, Mathieu Molina, Jessica T. Davis, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Marc Lipsitch, Mauricio Santillana

PLoS Comput. Biol., 2021

Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints.

André T. Nguyen, Edward Raff, Charles Nicholas, James Holt

CoRR, 2021

Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning.

André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Adversarial Transfer Attacks With Unknown Data and Class Overlap.

Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

2020

Real-time estimation of disease activity in emerging outbreaks using internet search information.

Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana

PLoS Comput. Biol., 2020

Practical Cross-modal Manifold Alignment for Grounded Language.

André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek

CoRR, 2020

Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory.

Arash Rahnama, André T. Nguyen, Edward Raff

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions.

Emily L. Aiken, André T. Nguyen, Mauricio Santillana

CoRR, 2019

Heterogeneous Relational Kernel Learning.

André T. Nguyen, Edward Raff

CoRR, 2019

Connecting Lyapunov Control Theory to Adversarial Attacks.

Arash Rahnama, André T. Nguyen, Edward Raff

CoRR, 2019

Would a File by Any Other Name Seem as Malicious?

André T. Nguyen, Edward Raff, Aaron Sant-Miller

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Adversarial Attacks, Regression, and Numerical Stability Regularization.

André T. Nguyen, Edward Raff

CoRR, 2018

2015

Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance.

Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein

PLoS Comput. Biol., 2015