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André T. Nguyen
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2020 – today
- 2024
- [i12]Amol Khanna, Adam McCormick, André T. Nguyen, Chris Aguirre, Edward Raff:
Position: Challenges and Opportunities for Differential Privacy in the U.S. Federal Government. CoRR abs/2410.16423 (2024) - 2022
- [c6]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: 7877-7885 - [c5]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: 81-99 - [i11]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 abs/2202.08985 (2022) - [i10]Derek Everett, André T. Nguyen, Luke E. Richards, Edward Raff:
Improving Out-of-Distribution Detection via Epistemic Uncertainty Adversarial Training. CoRR abs/2209.03148 (2022) - 2021
- [j3]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) - [c4]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: 13-24 - [c3]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: 1613-1622 - [i9]André T. Nguyen, Edward Raff, Charles Nicholas, James Holt:
Leveraging Uncertainty for Improved Static Malware Detection Under Extreme False Positive Constraints. CoRR abs/2108.04081 (2021) - [i8]Luke E. Richards, André T. Nguyen, Ryan Capps, Steven Forsyth, Cynthia Matuszek, Edward Raff:
Adversarial Transfer Attacks With Unknown Data and Class Overlap. CoRR abs/2109.11125 (2021) - 2020
- [j2]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) - [c2]Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory. CVPR 2020: 8175-8184 - [i7]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 abs/2009.05147 (2020)
2010 – 2019
- 2019
- [c1]André T. Nguyen, Edward Raff, Aaron Sant-Miller:
Would a File by Any Other Name Seem as Malicious? IEEE BigData 2019: 1322-1331 - [i6]Arash Rahnama, André T. Nguyen, Edward Raff:
Connecting Lyapunov Control Theory to Adversarial Attacks. CoRR abs/1907.07732 (2019) - [i5]André T. Nguyen, Edward Raff:
Heterogeneous Relational Kernel Learning. CoRR abs/1908.09219 (2019) - [i4]André T. Nguyen, Edward Raff, Aaron Sant-Miller:
Would a File by Any Other Name Seem as Malicious? CoRR abs/1910.04753 (2019) - [i3]Emily L. Aiken, André T. Nguyen, Mauricio Santillana:
Towards the Use of Neural Networks for Influenza Prediction at Multiple Spatial Resolutions. CoRR abs/1911.02673 (2019) - [i2]Arash Rahnama, André T. Nguyen, Edward Raff:
Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory. CoRR abs/1911.04636 (2019) - 2018
- [i1]André T. Nguyen, Edward Raff:
Adversarial Attacks, Regression, and Numerical Stability Regularization. CoRR abs/1812.02885 (2018) - 2015
- [j1]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)
Coauthor Index
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