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Home/Authors/Minhui Xue

Minhui Xue

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
Benchmarked
0

Publications per year

3
26

Top categories

Crypto×3AI×3ML×1

Frequent co-authors

Yingzi Ma1×
Zhengyue Zhao1×
Xiaogeng Liu1×
Yue Zhao1×
Chaowei Xiao1×
Mengying Zhang1×

Research Timeline

2026
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

The paper introduces AgentRAE, a novel backdoor attack that successfully forces mobile GUI agents to execute remote actions using visually natural triggers found in system notifications, achieving high success rates while remaining difficult to detect.

SoK: Unlearnability and Unlearning for Model Dememorization

This paper provides the first integrated analysis of model dememorization, unifying unlearnability and unlearning methods, and offering theoretical guarantees on dememorization depth.

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models

MaskForge is a novel, adaptive, black-box attack framework that significantly improves jailbreaking diffusion large language models (dLLMs) by treating red-teaming as an optimized search over reusable structural patterns.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentJun 1, 2026

MaskForge: Structure-Aware Adaptive Attacks for Jailbreaking Diffusion Large Language Models

Yingzi Ma, Zhengyue Zhao, Xiaogeng Liu, Minhui Xue +2 more

MaskForge is a novel, adaptive, black-box attack framework that significantly improves jailbreaking diffusion large language models (dLLMs) by treating red-teaming as an optimized search over reusable…

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cs.LGcs.AIcs.CRRecentMay 12, 2026

SoK: Unlearnability and Unlearning for Model Dememorization

Mengying Zhang, Derui Wang, Ruoxi Sun, Xiaoyu Xia +2 more

This paper provides the first integrated analysis of model dememorization, unifying unlearnability and unlearning methods, and offering theoretical guarantees on dememorization depth.

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cs.CRcs.AIRecentMar 24, 2026

AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents

Yutao Luo, Haotian Zhu, Shuchao Pang, Zhigang Lu +3 more

The paper introduces AgentRAE, a novel backdoor attack that successfully forces mobile GUI agents to execute remote actions using visually natural triggers found in system notifications, achieving hig…

View →