K. Naveen Kumar

Orcid: 0000-0003-4250-4429

According to our database1, K. Naveen Kumar authored at least 18 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Optimal Transport Barycentric Aggregation for Byzantine-Resilient Federated Learning.
IEEE Trans. Big Data, February, 2026

Eyes on the Road, Words in the Changing Skies: Vision-Language Assistance for Autonomous Driving in Transitional Weather.
Trans. Mach. Learn. Res., 2026

TWFNet: Introducing transitional weather conditions for autonomous driving with a spatio-temporal forecasting network.
Pattern Recognit., 2026

Ego-centric congestion understanding from multi-camera traffic scenes: A benchmark dataset and graph reasoning approach for autonomous vehicles.
Appl. Soft Comput., 2026

CaRS: A Causal Intervention Segmentation Framework and Benchmark Dataset for Autonomous Driving under Transitional Weather Conditions.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025
Federated Learning Minimal Model Replacement Attack Using Optimal Transport: An Attacker Perspective.
IEEE Trans. Inf. Forensics Secur., 2025

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective.
Artif. Intell. Medicine, 2025

Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., June, 2024

The Impact of Adversarial Attacks on Federated Learning: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

TSANet: Forecasting traffic congestion patterns from aerial videos using graphs and transformers.
Pattern Recognit., 2024

Object Detection in Transitional Weather Conditions for Autonomous Vehicles.
Proceedings of the International Joint Conference on Neural Networks, 2024

TransWardX: An Explainable Black-Box Object Detection Attack for Autonomous Driving in Transitional Weather Conditions.
Proceedings of the Pattern Recognition. ICPR 2024 International Workshops and Challenges, 2024

Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning.
Proceedings of the Fourteenth ACM Conference on Data and Application Security and Privacy, 2024

2022
Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2020
Defining Traffic States using Spatio-temporal Traffic Graphs.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Black-box Adversarial Attacks in Autonomous Vehicle Technology.
Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020


  Loading...