André T. Nguyen

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 20

Top Topics

Internet Search

Manifold Alignment

Malware Detection

Top Venues

PLoS Comput. Biol.

Publications

André T. Nguyen, Richard Zak, Luke E. Richards, Maya Fuchs, Fred Lu, Robert Brandon, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Minimizing Compute Costs: When Should We Run More Expensive Malware Analysis? CAMLIS (2022)
Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. CoRR (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. AAAI (2022)
André T. Nguyen, Fred Lu, Gary Lopez Munoz, Edward Raff, Charles Nicholas, James Holt
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks. CoRR (2022)
Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap. AISec@CCS (2021)
André T. Nguyen, Edward Raff, Charles Nicholas, James Holt
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR (2021)
Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff
Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR (2021)
Fred S. Lu, André T. Nguyen, Nicholas B. Link, Mathieu Molina, Jessica T. Davis, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Marc Lipsitch, Mauricio Santillana
Estimating the cumulative incidence of COVID-19 in the United States using influenza surveillance, virologic testing, and mortality data: Four complementary approaches. PLoS Comput. Biol. 17 (6) (2021)
André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
Practical Cross-Modal Manifold Alignment for Robotic Grounded Language Learning. CVPR Workshops (2021)
Arash Rahnama, André T. Nguyen, Edward Raff
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. CVPR (2020)
André T. Nguyen, Luke E. Richards, Gaoussou Youssouf Kebe, Edward Raff, Kasra Darvish, Frank Ferraro, Cynthia Matuszek
Practical Cross-modal Manifold Alignment for Grounded Language. CoRR (2020)
Emily L. Aiken, Sarah F. McGough, Maimuna S. Majumder, Gal Wachtel, André T. Nguyen, Cécile Viboud, Mauricio Santillana
Real-time estimation of disease activity in emerging outbreaks using internet search information. PLoS Comput. Biol. 16 (8) (2020)
André T. Nguyen, Edward Raff
Heterogeneous Relational Kernel Learning. CoRR (2019)
Arash Rahnama, André T. Nguyen, Edward Raff
Connecting Lyapunov Control Theory to Adversarial Attacks. CoRR (2019)
Arash Rahnama, André T. Nguyen, Edward Raff
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. CoRR (2019)
Emily L. Aiken, André T. Nguyen, Mauricio Santillana
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. CoRR (2019)
André T. Nguyen, Edward Raff, Aaron Sant-Miller
Would a File by Any Other Name Seem as Malicious? CoRR (2019)
André T. Nguyen, Edward Raff, Aaron Sant-Miller
Would a File by Any Other Name Seem as Malicious? IEEE BigData (2019)
André T. Nguyen, Edward Raff
Adversarial Attacks, Regression, and Numerical Stability Regularization. CoRR (2018)
Mauricio Santillana, André T. Nguyen, Mark Dredze, Michael J. Paul, Elaine O. Nsoesie, John S. Brownstein
Combining Search, Social Media, and Traditional Data Sources to Improve Influenza Surveillance. PLoS Comput. Biol. 11 (10) (2015)