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ORCIDMuhammad Usman 0024
Person information
- affiliation: University of Texas at Austin, TX, USA
Other persons with the same name
- Muhammad Usman (aka: Usman Muhammad) — disambiguation page
- Muhammad Usman 0001
![[0000-0002-2528-464X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2528-464X")
— University of South Wales, UK (and 2 more) - Muhammad Usman 0002 — Blekinge Institute of Technology, Karlskrona, Sweden (and 1 more)
- Muhammad Usman 0003 — Glasgow Caledonian University, School of Computing, Engineering and Built Environment, Glasgow, UK (and 3 more)
- Muhammad Usman 0004 — University Hasselt, Diepenbeek, Belgium
- Muhammad Usman 0005 — Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan
- Muhammad Usman 0008 — University of Dayton, Department of Mathematics, OH, USA (and 1 more)
- Muhammad Usman 0009 — University of Melbourne, Parkville, Victoria, Australia (and 1 more)
- Muhammad Usman 0010 — York University, Toronto, Ontario, Canada
- Muhammad Usman 0011 (aka: Muhammad Usman Asad) — University of Ulsan, South Korea (and 1 more)
- Muhammad Usman 0012 — Gwangju Institute of Science & Technology, Korea
- Muhammad Usman 0013 — FAST - National University of Computer & Emerging Sciences, Islamabad, Pakistan
- Muhammad Usman 0014 — King's College London, Division of Imaging Sciences and Biomedical Engineering, UK
- Muhammad Usman 0015 — University of South Wales, Engineering and Science, UK (and 2 more)
- Muhammad Usman 0016 — Julius Maximillian's University Wuerzburg, Institute for Geography and Geology, Germany (and 2 more)
- Muhammad Usman 0017 — University College Dublin, Ireland (and 2 more)
- Muhammad Usman 0018 — Quaid-i-Azam University, Faculty of Natural Sciences, Department of Computer Sciences, Islamabad, Pakistan
- Muhammad Usman 0019 — Hanyang University ERICA Campus, Department of Mechatronics Engineering, Ansan, South Korea (and 1 more)
- Muhammad Usman 0020 — Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan (and 1 more)
- Muhammad Usman 0021 — Peking University, College of Engineering, BIC-ESAT, Beijing, China (and 1 more)
- Muhammad Usman 0022 — University of Engineering and Technology Taxila, Sub-Campus Chakwal, Department of Electronics Engineering, Pakistan
- Muhammad Usman 0023 — University of Padova, Department of Industrial Engineering, Italy
- Muhammad Usman 0025 — University of the Punjab, Centre for Geographical Information System, Lahore, Pakistan
- Muhammad Usman 0026 — COMSATS University Islamabad (CUI), Pakistan
Other persons with a similar name
- M. Usman Akram (aka: Muhammad Usman Akram, Usman Akram)
- Muhammad Usman Ashraf
- Muhammad Usman Ilyas (aka: Muhammad U. Ilyas)
- Muhammad Usman Khalid
- Muhammad Usman Ghani Khan (aka: Muhammad Usman Ghani 0001) — University of Engineering and Technology, Department of Computer Science and Engineering, Lahore, Pakistan
- Muhammad Usman Karim Khan
- Muhammad Usman Shahid Khan (aka: Usman Shahid Khan)
- Muhammad Usman Rafique
- Muhammad Usman Sheikh
- Muhammad Arslan Usman
- show all similar names
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2020 – today
- 2023
[j2]Muhammad Usman, Youcheng Sun, Divya Gopinath, Rishi Dange, Luca Manolache, Corina S. Pasareanu:
An overview of structural coverage metrics for testing neural networks. Int. J. Softw. Tools Technol. Transf. 25(3): 393-405 (2023)- [c10]Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
Rule-Based Testing of Neural Networks. SE4SafeML@SIGSOFT FSE 2023: 1-5 - 2022
- [c9]Youcheng Sun, Muhammad Usman, Divya Gopinath, Corina S. Pasareanu:
VPN: Verification of Poisoning in Neural Networks. NSV/FoMLAS@CAV 2022: 3-14 - [c8]Muhammad Usman, Divya Gopinath, Youcheng Sun, Corina S. Pasareanu:
Rule-Based Runtime Mitigation Against Poison Attacks on Neural Networks. RV 2022: 67-84 - [i6]Muhammad Usman, Youcheng Sun, Divya Gopinath, Corina S. Pasareanu:
AntidoteRT: Run-time Detection and Correction of Poison Attacks on Neural Networks. CoRR abs/2202.01179 (2022) - [i5]Youcheng Sun, Muhammad Usman, Divya Gopinath, Corina S. Pasareanu:
VPN: Verification of Poisoning in Neural Networks. CoRR abs/2205.03894 (2022) - [i4]Muhammad Usman, Youcheng Sun, Divya Gopinath, Rishi Dange, Luca Manolache, Corina S. Pasareanu:
An Overview of Structural Coverage Metrics for Testing Neural Networks. CoRR abs/2208.03407 (2022) - 2021
- [c7]Muhammad Usman, Divya Gopinath, Youcheng Sun, Yannic Noller, Corina S. Pasareanu:
NNrepair: Constraint-Based Repair of Neural Network Classifiers. CAV (1) 2021: 3-25 - [c6]Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A Tool for the Symbolic Analysis of Neural Networks. ICSE (Companion Volume) 2021: 25-28 - [c5]Muhammad Usman, Divya Gopinath, Corina S. Pasareanu:
QuantifyML: How Good is my Machine Learning Model? FMAS 2021: 92-100 - [i3]Muhammad Usman, Yannic Noller, Corina S. Pasareanu, Youcheng Sun, Divya Gopinath:
NEUROSPF: A tool for the Symbolic Analysis of Neural Networks. CoRR abs/2103.00124 (2021) - [i2]Muhammad Usman, Divya Gopinath, Youcheng Sun, Yannic Noller, Corina S. Pasareanu:
NNrepair: Constraint-based Repair of Neural Network Classifiers. CoRR abs/2103.12535 (2021) - 2020
- [j1]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Cagdas Yelen, Nima Dini, Sarfraz Khurshid:
A study of learning likely data structure properties using machine learning models. Int. J. Softw. Tools Technol. Transf. 22(5): 601-615 (2020) - [c4]Muhammad Usman, Wenxi Wang, Sarfraz Khurshid:
TestMC: Testing Model Counters using Differential and Metamorphic Testing. ASE 2020: 709-721 - [c3]Muhammad Usman, Wenxi Wang, Marko Vasic, Kaiyuan Wang, Haris Vikalo, Sarfraz Khurshid:
A study of the learnability of relational properties: model counting meets machine learning (MCML). PLDI 2020: 1098-1111 - [c2]Wenxi Wang, Muhammad Usman, Alyas Almaawi, Kaiyuan Wang, Kuldeep S. Meel, Sarfraz Khurshid:
A Study of Symmetry Breaking Predicates and Model Counting. TACAS (1) 2020: 115-134
2010 – 2019
- 2019
- [c1]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Cagdas Yelen, Nima Dini, Sarfraz Khurshid:
A Study of Learning Data Structure Invariants Using Off-the-shelf Tools. SPIN 2019: 226-243 - [i1]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid:
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). CoRR abs/1912.11580 (2019)
Coauthor Index
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