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From the 1 of 5 linked papers with an AI index.

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20242026
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5 papers

cs.CV2026

On Success and Simplicity: A Second Look at Transferable Vision-Language Attack Pipeline

Yuchen Ren, Zhengyu Zhao, Chenhao Lin +2

The paper introduces SimVLA, a simplified vision‑language adversarial attack pipeline that improves transferability and computational efficiency compared to existing complex method…

cs.CV2025

Use as Many Surrogates as You Want: Selective Ensemble Attack to Unleash Transferability without Sacrificing Resource Efficiency

Bo Yang, Hengwei Zhang, Jindong Wang +4

In surrogate ensemble attacks, using more surrogate models yields higher transferability but lower resource efficiency. This practical trade-off between transferability and efficie…

q-fin.ST2025

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique +1

Financial time-series forecasting remains a challenging task due to complex temporal dependencies and market fluctuations. This study explores the potential of hybrid quantum-class…

cs.CR2024

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

Yuchen Ren, Zhengyu Zhao, Chenhao Lin +4

Transferable adversarial examples are known to cause threats in practical, black-box attack scenarios. A notable approach to improving transferability is using integrated gradients…

cs.LG2024

Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level

Runlin Lei, Yuwei Hu, Yuchen Ren +1

Graph Neural Networks (GNNs) excel across various applications but remain vulnerable to adversarial attacks, particularly Graph Injection Attacks (GIAs), which inject malicious nod…