K Naveen Kumar — accepted AI-conference papers

2025

Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution

K Naveen Kumar, Ranjeet Ranjan Jha, C Krishna Mohan, Ravindra Babu Tallamraju

CVPR 2025poster

Ensuring auditability and verifiability in FL is both challenging and essential to guarantee that local data remains untampered and client updates are trustworthy. Recent FL frameworks assess client contributions through a trusted central server using various client selection and aggregation techniq…

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2024

Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space

K Naveen Kumar, Reshmi Mitra, C Krishna Mohan

CVPR 2024poster

Federated Learning (FL) facilitates clients to collaborate on training a shared machine learning model without exposing individual private data. Nonetheless FL remains susceptible to utility and privacy attacks notably evasion data poisoning and model inversion attacks compromising the system's effi…

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