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ORCIDDiego Manzanas Lopez
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2020 – today
- 2024
[c23]Taylor T. Johnson, Diego Manzanas Lopez, Hoang-Dung Tran:
Tutorial: Safe, Secure, and Trustworthy Artificial Intelligence (AI) via Formal Verification of Neural Networks and Autonomous Cyber-Physical Systems (CPS) with NNV. DSN-S 2024: 65-66- [c22]Preston K. Robinette
, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson:
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. FormaliSE@ICSE 2024: 127-137 - [i7]Preston K. Robinette, Diego Manzanas Lopez, Serena Serbinowska, Kevin Leach, Taylor T. Johnson:
Case Study: Neural Network Malware Detection Verification for Feature and Image Datasets. CoRR abs/2404.05703 (2024) - 2023
- [c21]Diego Manzanas Lopez, Matthias Althoff, Marcelo Forets, Taylor T. Johnson, Tobias Ladner, Christian Schilling:
ARCH-COMP23 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH 2023: 89-125 - [c20]Diego Manzanas Lopez, Sung Woo Choi, Hoang-Dung Tran, Taylor T. Johnson:
NNV 2.0: The Neural Network Verification Tool. CAV (2) 2023: 397-412 - [c19]Hoang-Dung Tran, Diego Manzanas Lopez, Taylor T. Johnson:
Tutorial: Neural Network and Autonomous Cyber-Physical Systems Formal Verification for Trustworthy AI and Safe Autonomy. EMSOFT 2023: 1-2 - [c18]Neelanjana Pal, Diego Manzanas Lopez, Taylor T. Johnson:
Robustness Verification of Deep Neural Networks Using Star-Based Reachability Analysis with Variable-Length Time Series Input. FMICS 2023: 170-188 - [c17]Preston K. Robinette, Diego Manzanas Lopez, Taylor T. Johnson:
Benchmark: Neural Network Malware Classification. AISoLA 2023: 291-298 - [c16]Diego Manzanas Lopez, Taylor T. Johnson:
Empirical Analysis of Benchmark Generation for the Verification of Neural Network Image Classifiers. AISoLA 2023: 331-347 - [c15]Sergiy Bogomolov, Taylor T. Johnson, Diego Manzanas Lopez, Patrick Musau, Paulius Stankaitis:
Online Reachability Analysis and Space Convexification for Autonomous Racing. FMAS@iFM 2023: 95-112 - [i6]Neelanjana Pal, Diego Manzanas Lopez, Taylor T. Johnson:
Robustness Verification of Deep Neural Networks using Star-Based Reachability Analysis with Variable-Length Time Series Input. CoRR abs/2307.13907 (2023) - 2022
- [c14]Diego Manzanas Lopez, Matthias Althoff, Luis Benet, Xin Chen, Jiameng Fan, Marcelo Forets, Chao Huang, Taylor T. Johnson, Tobias Ladner, Wenchao Li, Christian Schilling, Qi Zhu:
ARCH-COMP22 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@SAFECOMP 2022: 142-184 - [c13]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Taylor T. Johnson:
Reachability Analysis of a General Class of Neural Ordinary Differential Equations. FORMATS 2022: 258-277 - [c12]Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson:
On Using Real-Time Reachability for the Safety Assurance of Machine Learning Controllers. ICAA 2022: 1-10 - [c11]Nathaniel Hamilton, Patrick Musau, Diego Manzanas Lopez, Taylor T. Johnson:
Zero-Shot Policy Transfer in Autonomous Racing: Reinforcement Learning vs Imitation Learning. ICAA 2022: 11-20 - [i5]Patrick Musau, Nathaniel Hamilton, Diego Manzanas Lopez, Preston Robinette, Taylor T. Johnson:
An Empirical Analysis of the Use of Real-Time Reachability for the Safety Assurance of Autonomous Vehicles. CoRR abs/2205.01419 (2022) - [i4]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Taylor T. Johnson:
Reachability Analysis of a General Class of Neural Ordinary Differential Equations. CoRR abs/2207.06531 (2022) - 2021
- [j2]Hoang-Dung Tran, Neelanjana Pal, Diego Manzanas Lopez, Patrick Musau, Xiaodong Yang, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson:
Verification of piecewise deep neural networks: a star set approach with zonotope pre-filter. Formal Aspects Comput. 33(4-5): 519-545 (2021) - [c10]Taylor T. Johnson, Diego Manzanas Lopez, Luis Benet, Marcelo Forets, Sebastián Guadalupe, Christian Schilling, Radoslav Ivanov, Taylor J. Carpenter, James Weimer, Insup Lee:
ARCH-COMP21 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@ADHS 2021: 90-119 - [c9]Hoang-Dung Tran, Neelanjana Pal, Patrick Musau, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Stanley Bak, Taylor T. Johnson:
Robustness Verification of Semantic Segmentation Neural Networks Using Relaxed Reachability. CAV (1) 2021: 263-286 - 2020
- [c8]Taylor T. Johnson, Diego Manzanas Lopez, Patrick Musau, Hoang-Dung Tran, Elena Botoeva, Francesco Leofante, Amir Maleki, Chelsea Sidrane, Jiameng Fan, Chao Huang:
ARCH-COMP20 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH 2020: 107-139 - [c7]Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson:
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems. CAV (1) 2020: 3-17 - [c6]Diego Manzanas Lopez, Patrick Musau, Nathaniel Hamilton, Hoang-Dung Tran, Taylor T. Johnson:
Case Study: Safety Verification of an Unmanned Underwater Vehicle. SP (Workshops) 2020: 189-195 - [i3]Hoang-Dung Tran, Xiaodong Yang, Diego Manzanas Lopez, Patrick Musau, Luan Viet Nguyen, Weiming Xiang, Stanley Bak, Taylor T. Johnson:
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems. CoRR abs/2004.05519 (2020)
2010 – 2019
- 2019
- [j1]Hoang-Dung Tran, Feiyang Cai, Diego Manzanas Lopez, Patrick Musau, Taylor T. Johnson, Xenofon D. Koutsoukos:
Safety Verification of Cyber-Physical Systems with Reinforcement Learning Control. ACM Trans. Embed. Comput. Syst. 18(5s): 105:1-105:22 (2019) - [c5]Diego Manzanas Lopez, Patrick Musau, Hoang-Dung Tran, Souradeep Dutta, Taylor J. Carpenter, Radoslav Ivanov, Taylor T. Johnson:
ARCH-COMP19 Category Report: Artificial Intelligence and Neural Network Control Systems (AINNCS) for Continuous and Hybrid Systems Plants. ARCH@CPSIoTWeek 2019: 103-119 - [c4]Diego Manzanas Lopez, Patrick Musau, Hoang-Dung Tran, Taylor T. Johnson:
Verification of Closed-loop Systems with Neural Network Controllers. ARCH@CPSIoTWeek 2019: 201-210 - [c3]Hoang-Dung Tran, Diego Manzanas Lopez, Patrick Musau, Xiaodong Yang, Luan Viet Nguyen, Weiming Xiang, Taylor T. Johnson:
Star-Based Reachability Analysis of Deep Neural Networks. FM 2019: 670-686 - [c2]Hoang-Dung Tran, Patrick Musau, Diego Manzanas Lopez, Xiaodong Yang, Luan Viet Nguyen, Weiming Xiang, Taylor T. Johnson:
Parallelizable reachability analysis algorithms for feed-forward neural networks. FormaliSE@ICSE 2019: 31-40 - 2018
- [c1]Patrick Musau, Diego Manzanas Lopez, Hoang-Dung Tran, Taylor T. Johnson:
Linear Differential-Algebraic Equations (Benchmark Proposal). ARCH@ADHS 2018: 174-184 - [i2]Weiming Xiang, Diego Manzanas Lopez, Patrick Musau, Taylor T. Johnson:
Reachable Set Estimation and Verification for Neural Network Models of Nonlinear Dynamic Systems. CoRR abs/1802.03557 (2018) - [i1]Weiming Xiang, Patrick Musau, Ayana A. Wild, Diego Manzanas Lopez, Nathaniel Hamilton, Xiaodong Yang, Joel A. Rosenfeld, Taylor T. Johnson:
Verification for Machine Learning, Autonomy, and Neural Networks Survey. CoRR abs/1810.01989 (2018)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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