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Home/Authors/Zhe Liu

Zhe Liu

6 indexed papers

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

Publications per year

6
26

Top categories

Crypto×5AI×4Vision×1NLP×1Multiagent×1Comp. Eng.×1

Frequent co-authors

Mingzhe Liu2×
Yuyang Zhao1×
Yicheng Pan1×
Qiyuan He1×
Jincheng Yu1×
Junsong Chen1×

Research Timeline

2026
GasLiteAA: Optimizing ERC-4337 for Efficient and Secure Gas Sponsorship

GasLiteAA proposes optimizing the ERC-4337 standard by offloading gas sponsorship logic to Trusted Execution Environments (TEE), significantly reducing on-chain gas costs while maintaining security and verifiability.

SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety

SafeHarbor is a novel, hierarchical memory-augmented framework that establishes context-aware decision boundaries for LLM agents, achieving state-of-the-art safety while minimizing over-refusal.

OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing

OrchJail introduces an orchestration-guided fuzzing framework to systematically jailbreak tool-calling text-to-image agents by exploiting unsafe multi-step tool-orchestration patterns.

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

DCVD proposes a dual-channel cross-modal fusion framework that jointly detects software vulnerabilities and precisely localizes the vulnerable lines, outperforming existing state-of-the-art methods.

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

The paper introduces LITMUS, a novel benchmark that rigorously tests LLM agents for dangerous, physical-layer behavioral jailbreaks in real OS environments, revealing that current agents frequently execute high-risk operations despite safety guardrails.

SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer

SANA-Streaming introduces a novel, efficient framework that enables real-time, high-resolution streaming video-to-video editing by combining a hybrid diffusion transformer with specialized training and hardware co-design.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentMay 28, 2026

SANA-Streaming: Real-time Streaming Video Editing with Hybrid Diffusion Transformer

Yuyang Zhao, Yicheng Pan, Qiyuan He, Jincheng Yu +5 more

SANA-Streaming introduces a novel, efficient framework that enables real-time, high-resolution streaming video-to-video editing by combining a hybrid diffusion transformer with specialized training an…

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cs.CRcs.CLRecentMay 11, 2026

LITMUS: Benchmarking Behavioral Jailbreaks of LLM Agents in Real OS Environments

Chiyu Zhang, Huiqin Yang, Bendong Jiang, Xiaolei Zhang +7 more

The paper introduces LITMUS, a novel benchmark that rigorously tests LLM agents for dangerous, physical-layer behavioral jailbreaks in real OS environments, revealing that current agents frequently ex…

View →
cs.CRcs.AIRecentMay 10, 2026

DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization

Wenxin Tang, Wenbin Li, Junliang Liu, Jingyu Xiao +9 more

DCVD proposes a dual-channel cross-modal fusion framework that jointly detects software vulnerabilities and precisely localizes the vulnerable lines, outperforming existing state-of-the-art methods.

View →
cs.MAcs.AIcs.CRRecentMay 8, 2026

OrchJail: Jailbreaking Tool-Calling Text-to-Image Agents by Orchestration-Guided Fuzzing

Jianming Chen, Yawen Wang, Junjie Wang, Zhe Liu +2 more

OrchJail introduces an orchestration-guided fuzzing framework to systematically jailbreak tool-calling text-to-image agents by exploiting unsafe multi-step tool-orchestration patterns.

View →
cs.CRcs.AIRecentMay 7, 2026

SafeHarbor: Hierarchical Memory-Augmented Guardrail for LLM Agent Safety

Zhe Liu, Zonghao Ying, Wenxin Zhang, Quanchen Zou +4 more

SafeHarbor is a novel, hierarchical memory-augmented framework that establishes context-aware decision boundaries for LLM agents, achieving state-of-the-art safety while minimizing over-refusal.

View →
cs.CEcs.CRRecentApr 11, 2026

GasLiteAA: Optimizing ERC-4337 for Efficient and Secure Gas Sponsorship

Hongxu Su, Mingzhe Liu, Jie Xu, Xiaohua Jia +1 more

GasLiteAA proposes optimizing the ERC-4337 standard by offloading gas sponsorship logic to Trusted Execution Environments (TEE), significantly reducing on-chain gas costs while maintaining security an…

View →