Ridhi Jain

Orcid: 0000-0002-6102-7114

According to our database1, Ridhi Jain authored at least 16 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2018
2019
2020
2021
2022
2023
2024
2025
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
How secure is AI-generated code: a large-scale comparison of large language models.
Empir. Softw. Eng., March, 2025

2024
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence.
CoRR, 2024

Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies.
CoRR, 2024

Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models.
CoRR, 2024

CyberMetric: A Benchmark Dataset for Evaluating Large Language Models Knowledge in Cybersecurity.
CoRR, 2024

Why Doesn't Microsoft Let Me Sleep? How Automaticity of Windows Updates Impacts User Autonomy.
CoRR, 2024

Rapid Taint Assisted Concolic Execution (TACE).
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge.
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024

2023
FormAI Dataset: A Large Collection of AI-Generated C Programs and Their Vulnerability Classifications.
Dataset, September, 2023

Dataset for : A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification.
Dataset, June, 2023

A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification.
CoRR, 2023

The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification.
Proceedings of the 19th International Conference on Predictive Models and Data Analytics in Software Engineering, 2023

A Code Centric Evaluation of C/C++ Vulnerability Datasets for Deep Learning Based Vulnerability Detection Techniques.
Proceedings of the 16th Innovations in Software Engineering Conference, 2023

Handling Communication via APIs for Microservices.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, 2023

2022
BiRD: Race Detection in Software Binaries under Relaxed Memory Models.
ACM Trans. Softw. Eng. Methodol., 2022

2018
A search system for mathematical expressions on software binaries.
Proceedings of the 15th International Conference on Mining Software Repositories, 2018


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