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ORCIDRidhi Jain
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2020 – today
- 2025
[j2]Norbert Tihanyi
, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro:
How secure is AI-generated code: a large-scale comparison of large language models. Empir. Softw. Eng. 30(2): 47 (2025)- 2024
- [c6]Norbert Tihanyi, Mohamed Amine Ferrag, Ridhi Jain, Tamás Bisztray, Mérouane Debbah:
CyberMetric: A Benchmark Dataset based on Retrieval-Augmented Generation for Evaluating LLMs in Cybersecurity Knowledge. CSR 2024: 296-302 - [c5]Ridhi Jain, Norbert Tihanyi, Mthandazo Ndhlovu, Mohamed Amine Ferrag, Lucas C. Cordeiro:
Rapid Taint Assisted Concolic Execution (TACE). SIGSOFT FSE Companion 2024: 627-631 - [i8]Sanju Ahuja, Ridhi Jain, Jyoti Kumar:
Why Doesn't Microsoft Let Me Sleep? How Automaticity of Windows Updates Impacts User Autonomy. CoRR abs/2401.06413 (2024) - [i7]Norbert Tihanyi, Mohamed Amine Ferrag, Ridhi Jain, Mérouane Debbah:
CyberMetric: A Benchmark Dataset for Evaluating Large Language Models Knowledge in Cybersecurity. CoRR abs/2402.07688 (2024) - [i6]Norbert Tihanyi, Tamás Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro:
Do Neutral Prompts Produce Insecure Code? FormAI-v2 Dataset: Labelling Vulnerabilities in Code Generated by Large Language Models. CoRR abs/2404.18353 (2024) - [i5]Ridhi Jain, Norbert Tihanyi, Mohamed Amine Ferrag:
Securing Tomorrow's Smart Cities: Investigating Software Security in Internet of Vehicles and Deep Learning Technologies. CoRR abs/2407.16410 (2024) - [i4]Norbert Tihanyi, Tamás Bisztray, Richard A. Dubniczky, Rebeka Tóth, Bertalan Borsos, Bilel Cherif, Mohamed Amine Ferrag, Lajos Muzsai, Ridhi Jain, Ryan Marinelli, Lucas C. Cordeiro, Mérouane Debbah:
Dynamic Intelligence Assessment: Benchmarking LLMs on the Road to AGI with a Focus on Model Confidence. CoRR abs/2410.15490 (2024) - 2023
- [c4]Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam:
Handling Communication via APIs for Microservices. ICSE (NIER) 2023: 37-42 - [c3]Ridhi Jain, Nicole Gervasoni, Mthandazo Ndhlovu, Sanjay Rawat:
A Code Centric Evaluation of C/C++ Vulnerability Datasets for Deep Learning Based Vulnerability Detection Techniques. ISEC 2023: 6:1-6:10 - [c2]Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis:
The FormAI Dataset: Generative AI in Software Security through the Lens of Formal Verification. PROMISE 2023: 33-43 - [d2]Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, Lucas C. Cordeiro:
Dataset for : A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification. Zenodo, 2023
- [d1]Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis:
FormAI Dataset: A Large Collection of AI-Generated C Programs and Their Vulnerability Classifications. IEEE DataPort, 2023 - [i3]Yiannis Charalambous, Norbert Tihanyi, Ridhi Jain, Youcheng Sun, Mohamed Amine Ferrag, Lucas C. Cordeiro:
A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification. CoRR abs/2305.14752 (2023) - [i2]Norbert Tihanyi, Tamás Bisztray, Ridhi Jain, Mohamed Amine Ferrag, Lucas C. Cordeiro, Vasileios Mavroeidis:
The FormAI Dataset: Generative AI in Software Security Through the Lens of Formal Verification. CoRR abs/2307.02192 (2023) - [i1]Vini Kanvar, Ridhi Jain, Srikanth Tamilselvam:
Handling Communication via APIs for Microservices. CoRR abs/2308.01302 (2023) - 2022
- [j1]Ridhi Jain, Rahul Purandare, Subodh Sharma:
BiRD: Race Detection in Software Binaries under Relaxed Memory Models. ACM Trans. Softw. Eng. Methodol. 31(4): 58:1-58:29 (2022)
2010 – 2019
- 2018
- [c1]Ridhi Jain, Sai Prathik, Venkatesh Vinayakarao, Rahul Purandare:
A search system for mathematical expressions on software binaries. MSR 2018: 487-491
Coauthor Index
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