1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Meta-Attention: Bayesian Per-Token Routing for Efficient Transformer Inference
Alan Ferrari
Standard transformer architectures apply a single attention mechanism uniformly across all tokens and sequence positions, irrespective of local context or computational budget. We…
cs.CR2016★ 1 cited
Building accurate HAV exploiting User Profiling and Sentiment Analysis
Alan Ferrari, Angelo Consoli
Social Engineering (SE) is one of the most dangerous aspect an attacker can use against a given entity (private citizen, industry, government, ...). In order to perform SE attacks,…
cs.NI2014
B-Maniac
Alan Ferrari, Dario Gallucci
Mobile Data Offloading permits users to use cheap communication media, whenever feasible, for delivering their personal data instead of using the infrastructure which is more expen…