Long H. Pham

According to our database1, Long H. Pham authored at least 16 papers between 2014 and 2023.

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Bibliography

2023
Fuzzing with Quantitative and Adaptive Hot-Bytes Identification.
CoRR, 2023

Towards an Effective and Interpretable Refinement Approach for DNN Verification.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

An Idealist's Approach for Smart Contract Correctness.
Proceedings of the Formal Methods and Software Engineering, 2023

2022
S2TD: a Separation Logic Verifier that Supports Reasoning of the Absence and Presence of Bugs.
CoRR, 2022

Causality-Based Neural Network Repair.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Verifying Neural Networks Against Backdoor Attacks.
Proceedings of the Computer Aided Verification - 34th International Conference, 2022

2021
SGUARD: Towards Fixing Vulnerable Smart Contracts Automatically.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

2020
SOCRATES: Towards a Unified Platform for Neural Network Verification.
CoRR, 2020

sFuzz: an efficient adaptive fuzzer for solidity smart contracts.
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

2019
Concolic Testing Heap-Manipulating Programs.
Proceedings of the Formal Methods - The Next 30 Years - Third World Congress, 2019

Enhancing Symbolic Execution of Heap-Based Programs with Separation Logic for Test Input Generation.
Proceedings of the Automated Technology for Verification and Analysis, 2019

Compositional Verification of Heap-Manipulating Programs Through Property-Guided Learning.
Proceedings of the Programming Languages and Systems - 17th Asian Symposium, 2019

2018
Testing heap-based programs with Java StarFinder.
Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

2017
Assertion Generation Through Active Learning.
Proceedings of the Formal Methods and Software Engineering, 2017

Learning Likely Invariants to Explain Why a Program Fails.
Proceedings of the 22nd International Conference on Engineering of Complex Computer Systems, 2017

2014
Assisting Students in Finding Bugs and their Locations in Programming Solutions.
Int. J. Qual. Assur. Eng. Technol. Educ., 2014


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