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#machine learning Preprint Oct 2026

UnAct: Gradient-Free Unlearning via Targeted Activation Intervention

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 Dampening (SSD) and its label-free variant LFSSD avoid full retraining but still require backpropagation and parameter importance computed ov...

Saeed Abdul Muizz, Aayat Rafiq, Iqra Altaf Gillani et al. · 0 citations
Preprint Aug 2026

From Propagation to Protection: Risk-Aware Diffusion for Harm Minimization in Signed Social Networks

Real-world social relationships are not uniformly supportive. Information through hostile connections can increase resistance, anxiety, or misinformation rather than adoption. Classical models such as Independent Cascade and Linear Threshold, together with Influence Maximization (IM), which maximizes spread from a limi...

Aaqib Zahoor, J. Bashir, Iqra Altaf Gillani · 0 citations

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