6 papers
UnAct: Gradient-Free Unlearning via Targeted Activation Intervention
Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani +1
Machine unlearning seeks to remove the influence of designated training data from a trained model without retraining from scratch. Retrain-free methods such as Selective Synaptic D…
From Propagation to Protection: Risk-Aware Diffusion for Harm Minimization in Signed Social Networks
Aaqib Zahoor, Janibul Bashir, Iqra Altaf Gillani
Real-world social relationships are not uniformly supportive. Information through hostile connections can increase resistance, anxiety, or misinformation rather than adoption. Clas…
Bolbosh: Script-Aware Flow Matching for Kashmiri Text-to-Speech
Tajamul Ashraf, Burhaan Rasheed Zargar, Saeed Abdul Muizz +5
Kashmiri is spoken by around 7 million people but remains critically underserved in speech technology, despite its official status and rich linguistic heritage. The lack of robust…
Diffusion Models for Influence Maximization on Temporal Networks: A Guide to Make the Best Choice
Aaqib Zahoor, Iqra Altaf Gillani, Janibul Bashir
The increasing prominence of temporal networks in online social platforms and dynamic communication systems has made influence maximization a critical research area. Various diffus…
ATR-Bench: A Federated Learning Benchmark for Adaptation, Trust, and Reasoning
Tajamul Ashraf, Mohammed Mohsen Peerzada, Moloud Abdar +5
Federated Learning (FL) has emerged as a promising paradigm for collaborative model training while preserving data privacy across decentralized participants. As FL adoption grows,…
Influence Maximization in Temporal Networks with Persistent and Reactive Behaviors
Aaqib Zahoor, Iqra Altaf Gillani, Janib ul Bashir
Influence maximization in temporal social networks presents unique challenges due to the dynamic interactions that evolve over time. Traditional diffusion models often fall short i…