PrismWF: A Multi-Granularity Patch-Based Transformer for Robust Website Fingerprinting Attack

arXiv:2603.21117 · cs.CR · Submitted 2026-03-22 · Read on arXiv

cs.CR

Submitted: 2026-03-22

Updated: 2026-08-27

Comments: 14 pages, 7 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Trace — 58× in this paper · explained in 2 episodes
Fingerprinting — 46× in this paper · explained in 2 episodes
Robustness — 10× in this paper · explained in 5 episodes
Transformer — 10× in this paper · explained in 2 episodes
Ablation — 7× in this paper · explained in 1 episode
Aggregation — 6× in this paper · explained in 1 episode
Accuracy — 5× in this paper · explained in 1 episode
Attention Mechanism — 5× in this paper · explained in 2 episodes
Security and Privacy — 5× in this paper
Feature Extraction — 4× in this paper · explained in 2 episodes
Regularization — 4× in this paper · explained in 3 episodes
Ablation study — 3× in this paper · explained in 1 episode
Core — 3× in this paper · explained in 2 episodes
Ablation Studies — 2× in this paper · explained in 1 episode
Adaptation — 2× in this paper · explained in 1 episode
Alignment — 2× in this paper · explained in 1 episode
Generalization — 2× in this paper · explained in 13 episodes
Loss Function — 2× in this paper · explained in 2 episodes
Adversarial Training — 1× in this paper · explained in 1 episode
Contrastive Learning — 1× in this paper · explained in 5 episodes
Cross-Attention Mechanism — 1× in this paper · explained in 2 episodes
Feature Engineering — 1× in this paper · explained in 3 episodes
Information Leakage — 1× in this paper · explained in 2 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Sparse Attention — 1× in this paper · explained in 5 episodes
Traffic Aggregation Matrix — 1× in this paper

PrismWF: A Multi-Granularity Patch-Based Transformer for Robust Website Fingerprinting Attack

Terminology

Sources

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