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cs.CY2025
Using Salient Object Detection to Identify Manipulative Cookie Banners that Circumvent GDPR
Riley Grossman, Michael Smith, Cristian Borcea +1
The main goal of this paper is to study how often cookie banners that comply with the General Data Protection Regulation (GDPR) contain aesthetic manipulation, a design tactic to d…
cs.CR2025
CryptGNN: Enabling Secure Inference for Graph Neural Networks
Pritam Sen, Yao Ma, Cristian Borcea
We present CryptGNN, a secure and effective inference solution for third-party graph neural network (GNN) models in the cloud, which are accessed by clients as ML as a service (MLa…