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Jingbo Wang 0006
Person information
- affiliation: University of Southern California, CA, USA
Other persons with the same name
- Jingbo Wang — disambiguation page
- Jingbo Wang 0001
(aka: Jingbo B. Wang) — The University of Western Australia, Perth, WA, Australia
- Jingbo Wang 0002
- Jingbo Wang 0003
- Jingbo Wang 0004
- Jingbo Wang 0005
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2020 – today
- 2023
- [j1]Jingbo Wang
Synthesizing MILP Constraints for Efficient and Robust Optimization. Proc. ACM Program. Lang. 7(PLDI): 1896-1919 (2023) - [c11]Yannan Li, Jingbo Wang
Certifying the Fairness of KNN in the Presence of Dataset Bias. CAV (2) 2023: 335-357 - [c10]Yannan Li, Jingbo Wang
Systematic Testing of the Data-Poisoning Robustness of KNN. ISSTA 2023: 1207-1218 - [c9]Subarno Banerjee
Compositional Taint Analysis for Enforcing Security Policies at Scale. ESEC/SIGSOFT FSE 2023: 1985-1996 - [e1]Cezara Dragoi, Michael Emmi, Jingbo Wang:
Verification, Model Checking, and Abstract Interpretation - 24th International Conference, VMCAI 2023, Boston, MA, USA, January 16-17, 2023, Proceedings. Lecture Notes in Computer Science 13881, Springer 2023, ISBN 978-3-031-24949-5 [contents] - [i7]Yannan Li, Jingbo Wang, Chao Wang:
Systematic Testing of the Data-Poisoning Robustness of KNN. CoRR abs/2307.08288 (2023) - [i6]Yannan Li, Jingbo Wang, Chao Wang:
Certifying the Fairness of KNN in the Presence of Dataset Bias. CoRR abs/2307.08722 (2023) - 2022
- [c8]Jingbo Wang
Synthesizing Fair Decision Trees via Iterative Constraint Solving. CAV (2) 2022: 364-385 - [c7]Yannan Li, Jingbo Wang, Chao Wang:
Proving Robustness of KNN Against Adversarial Data Poisoning. FMCAD 2022: 7-16 - [c6]Jingbo Wang
Learning to Synthesize Relational Invariants. ASE 2022: 65:1-65:12 - 2021
- [c5]Jingbo Wang, Chungha Sung
Data-Driven Synthesis of Provably Sound Side Channel Analyses. ICSE 2021: 810-822 - [i5]Jingbo Wang, Chungha Sung, Mukund Raghothaman, Chao Wang:
Data-Driven Synthesis of Provably Sound Side Channel Analyses. CoRR abs/2102.06753 (2021) - 2020
- [c4]Brandon Paulsen, Jingbo Wang
ReluDiff: differential verification of deep neural networks. ICSE 2020: 714-726 - [c3]Brandon Paulsen, Jingbo Wang, Jiawei Wang, Chao Wang:
NEURODIFF: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation. ASE 2020: 784-796 - [i4]Brandon Paulsen, Jingbo Wang, Chao Wang:
ReluDiff: Differential Verification of Deep Neural Networks. CoRR abs/2001.03662 (2020) - [i3]Brandon Paulsen, Jingbo Wang, Jiawei Wang, Chao Wang:
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation. CoRR abs/2009.09943 (2020)
2010 – 2019
- 2019
- [c2]Meng Wu, Jingbo Wang, Jyotirmoy Deshmukh, Chao Wang:
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems. FMCAD 2019: 129-137 - [c1]Jingbo Wang
Mitigating power side channels during compilation. ESEC/SIGSOFT FSE 2019: 590-601 - [i2]Jingbo Wang, Chungha Sung, Chao Wang:
Mitigating Power Side Channels during Compilation. CoRR abs/1902.09099 (2019) - [i1]Meng Wu, Jingbo Wang, Jyotirmoy Deshmukh, Chao Wang:
Shield Synthesis for Real: Enforcing Safety in Cyber-Physical Systems. CoRR abs/1908.05402 (2019)
Coauthor Index
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