Gabriel Ryan

According to our database1, Gabriel Ryan authored at least 10 papers between 2018 and 2024.

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Bibliography

2024
Code-Aware Prompting: A study of Coverage Guided Test Generation in Regression Setting using LLM.
CoRR, 2024

2023
Precise Detection of Kernel Data Races with Probabilistic Lockset Analysis.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

2022
TOGA: A Neural Method for Test Oracle Generation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Neural Unit Test Suggestions.
CoRR, 2021

Fine Grained Dataflow Tracking with Proximal Gradients.
Proceedings of the 30th USENIX Security Symposium, 2021

DistAI: Data-Driven Automated Invariant Learning for Distributed Protocols.
Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2020
Learning nonlinear loop invariants with gated continuous logic networks.
Proceedings of the 41st ACM SIGPLAN International Conference on Programming Language Design and Implementation, 2020

CLN2INV: Learning Loop Invariants with Continuous Logic Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
At a Glance: Pixel Approximate Entropy as a Measure of Line Chart Complexity.
IEEE Trans. Vis. Comput. Graph., 2019

2018
Simulated User Bots: Real Time Testing of Insider Threat Detection Systems.
Proceedings of the 2018 IEEE Security and Privacy Workshops, 2018


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