4 papers
Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs
Dinesh Srivasthav P, Ashok Urlana, Rahul Mishra +2
Machine unlearning aims to selectively remove the influence of specific training samples to satisfy privacy regulations such as the GDPR's 'Right to be Forgotten'. However, many ex…
ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning
Karan Sharma, Aditya Tripathi, Rahul Mishra +1
Federated learning is used in medical imaging where privacy prohibits centralizing data. Standard federated algorithms assume homogeneous hardware, identical architectures, and cen…
SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
Aditya Tripathi, Karan Sharma, Rahul Mishra +1
Federated Learning (FL) distributes model training across clients who retain their data locally, but this architecture exposes a fundamental vulnerability: Byzantine clients can in…
SceneGraMMi: Scene Graph-boosted Hybrid-fusion for Multi-Modal Misinformation Veracity Prediction
Swarang Joshi, Siddharth Mavani, Joel Alex +3
Misinformation undermines individual knowledge and affects broader societal narratives. Despite growing interest in the research community in multi-modal misinformation detection,…