Long-Range Indirect Control-Flow Prediction in Stripped Binaries via Dual Virtual Hubs and Multi-Task Graph Learning

arXiv:2609.03280 · cs.CR · Submitted 2026-09-03 · Read on arXiv

cs.CR

Submitted: 2026-09-03

Updated: 2026-09-07

Comments: Accepted by ACM CCS 2026

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

Terminology

Heterogeneous Graph — 14× in this paper · explained in 2 episodes
Multi-Task Learning — 12× in this paper
Benchmark — 11× in this paper · explained in 2 episodes
GNNs — 8× in this paper · explained in 2 episodes
Global Code Hub — 8× in this paper
Global Data Hub — 8× in this paper
Generalization — 7× in this paper · explained in 13 episodes
Trace — 7× in this paper · explained in 2 episodes
Embeddings — 6× in this paper · explained in 2 episodes
Robustness — 6× in this paper · explained in 5 episodes
Accuracy — 5× in this paper · explained in 1 episode
Fidelity — 5× in this paper · explained in 2 episodes
Graph Construction — 5× in this paper · explained in 3 episodes
Transformer — 5× in this paper · explained in 2 episodes
Unified Framework — 5× in this paper · explained in 5 episodes
F1 Score — 4× in this paper · explained in 3 episodes
Indirect Control Flow — 4× in this paper
Pruning — 4× in this paper · explained in 4 episodes
Adam — 3× in this paper · explained in 2 episodes
Aggregation — 3× in this paper · explained in 1 episode
Over-squashing — 3× in this paper · explained in 3 episodes
Sparsity — 3× in this paper · explained in 4 episodes
Ablation — 2× in this paper · explained in 1 episode
Abstraction — 2× in this paper · explained in 1 episode
Analyzer — 2× in this paper · explained in 1 episode
Core — 2× in this paper · explained in 2 episodes
Graph Neural Networks (GNNs) — 2× in this paper · explained in 7 episodes
Information Leakage — 2× in this paper · explained in 2 episodes
Provenance — 2× in this paper · explained in 3 episodes
Redundancy — 2× in this paper · explained in 2 episodes
Ablation study — 1× in this paper · explained in 1 episode
Attention Mechanism — 1× in this paper · explained in 2 episodes
Contrastive Learning — 1× in this paper · explained in 5 episodes
Decoupling — 1× in this paper · explained in 2 episodes
Elias — 1× in this paper · explained in 2 episodes
Failure Modes — 1× in this paper · explained in 3 episodes
Federated Learning — 1× in this paper · explained in 14 episodes
Fine-Tuning — 1× in this paper · explained in 5 episodes
Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
Representation Learning — 1× in this paper · explained in 2 episodes
Semantic Understanding — 1× in this paper · explained in 2 episodes
Structural Constraints — 1× in this paper · explained in 2 episodes
Structural Reasoning — 1× in this paper · explained in 2 episodes

Sources

Resolving Indirect Calls in Binary Code via Cross-Reference Augmented Graph Neural Networks

Terminology

Sources

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