2 papers
cs.LG2025
On Stealing Graph Neural Network Models
Marcin Podhajski, Jan DubiÅski, Franziska Boenisch +3
Current graph neural network (GNN) model-stealing methods rely heavily on queries to the victim model, assuming no hard query limits. However, in reality, the number of allowed que…
cs.CR2024
Bribe & Fork: Cheap Bribing Attacks via Forking Threat
Zeta Avarikioti, PaweÅ KÄdzior, Tomasz Lizurej +1
In this work, we reexamine the vulnerability of Payment Channel Networks (PCNs) to bribing attacks, where an adversary incentivizes blockchain miners to deliberately ignore a speci…