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ORCIDPranshav Gajjar
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2020 – today
- 2025
[j4]Pranshav Gajjar
, Molham Khoja, Abiodun Ganiyu, Marc Juarez, Mahesh K. Marina, Andrew Lehane, Vijay K. Shah:
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation. Proc. ACM Netw. 3(CoNEXT4): 1-26 (2025)- [c6]Pranshav Gajjar, Vijay K. Shah:
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks. CCNC 2025: 1-4 - [c5]Abiodun Ganiyu, Pranshav Gajjar, Vijay K. Shah:
AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components. WISEC 2025: 53-64 - [c4]Abiodun Ganiyu, Pranshav Gajjar, Vijay K. Shah:
DEMO: AI5GTest: LLM based Automation for 5G O-RAN Testing. WISEC 2025: 298-299 - [i6]Pranshav Gajjar, Vijay K. Shah:
ORANSight-2.0: Foundational LLMs for O-RAN. CoRR abs/2503.05200 (2025) - [i5]Abiodun Ganiyu, Pranshav Gajjar, Vijay K. Shah:
AI5GTest: AI-Driven Specification-Aware Automated Testing and Validation of 5G O-RAN Components. CoRR abs/2506.10111 (2025) - [i4]Pranshav Gajjar, Molham Khoja, Abiodun Ganiyu, Marc Juarez, Mahesh K. Marina, Andrew Lehane, Vijay K. Shah:
Black-Box Evasion Attacks on Data-Driven Open RAN Apps: Tailored Design and Experimental Evaluation. CoRR abs/2510.18160 (2025) - 2024
- [j3]Pranshav Gajjar, Manav Garg, Shivani Desai, Hitesh Chhinkaniwala, Harshal A. Sanghvi, Riki H. Patel, Shailesh Gupta, Abhijit S. Pandya:
An Empirical Analysis of Diffusion, Autoencoders, and Adversarial Deep Learning Models for Predicting Dementia Using High-Fidelity MRI. IEEE Access 12: 131231-131243 (2024) - [c3]Pranshav Gajjar, Azuka J. Chiejina, Vijay K. Shah:
Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks. DySPAN 2024: 339-346 - [i3]Pranshav Gajjar, Azuka J. Chiejina, Vijay K. Shah:
Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks. CoRR abs/2402.09710 (2024) - [i2]Pranshav Gajjar, Vijay K. Shah:
ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks. CoRR abs/2407.06245 (2024) - 2023
- [j2]Manav Garg, Pranshav Gajjar, Pooja Shah, Madhu Shukla, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos:
Comparative Analysis of Deep Learning Architectures and Vision Transformers for Musical Key Estimation. Inf. 14(10): 527 (2023) - [c2]Shivani Desai, Hitesh Chhinkaniwala, Smit Shah, Pranshav Gajjar:
Enhancing Parkinson's Disease Diagnosis through Deep Learning-Based Classification of 3D MRI Images. ICMLDE 2023: 201-213 - [c1]Pranshav Gajjar, Naishadh Mehta, Malay Patel, Pooja Shah, Anup Das:
Conditional Generative Adversarial Networks for SAR-based Ocean Feature Monitoring. ICMLDE 2023: 2867-2875 - 2022
- [j1]Pranshav Gajjar, Naishadh Mehta, Pooja Shah:
Quadruplet loss and SqueezeNets for Covid-19 detection from Chest-X ray. Comput. Sci. J. Moldova 30(2): 214-222 (2022) - [i1]Harsh Senjaliya, Pranshav Gajjar, Brijan Vaghasiya, Pooja Shah, Paresh Gujarati:
Optimization of Rocker-Bogie Mechanism using Heuristic Approaches. CoRR abs/2209.06927 (2022)
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