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Home/Authors/Chong Zhang

Chong Zhang

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

Vision×2AI×2Crypto×2ML×1Sound×1

Frequent co-authors

Fangzhou Lin1×
Peiran Li1×
Lingyu Xu1×
Wenjing Chen1×
Qianwen Ge1×
Shuo Xing1×

Research Timeline

2026
STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling

STEP introduces a novel, black-box, retraining-free detector that profiles audio samples using dual perturbation branches to detect backdoor attacks by exploiting the characteristic instability of hidden triggers.

TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models

This paper introduces TwoHamsters, a new benchmark that rigorously tests Multi-Concept Compositional Unsafety (MCCU) in text-to-image models, demonstrating that current state-of-the-art models and safety defenses are highly vulnerable to subtle, compositionally unsafe prompts.

OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories

The paper introduces OpenClawBench, a large-scale dataset and framework for measuring process-side anomalies in real-world agent execution trajectories, demonstrating that task success does not guarantee operational reliability.

CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences

The paper introduces CV-Arena, a large-scale open benchmark for instructional computer vision, demonstrating that professional-grade image editing requires advanced capabilities in physical reasoning and structural control.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentMay 30, 2026

CV-Arena: An Open Benchmark for Instructional Computer Vision Problem Solving with Human-AI Collaborative Preferences

Fangzhou Lin, Peiran Li, Lingyu Xu, Wenjing Chen +11 more

The paper introduces CV-Arena, a large-scale open benchmark for instructional computer vision, demonstrating that professional-grade image editing requires advanced capabilities in physical reasoning…

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cs.AIRecentMay 28, 2026

OpenClawBench: Benchmarking Process-side Anomalies in Real-world Agent Execution Trajectories

Yibing Liu, Yangze Liu, Xiaolong Yin, Bin Wang +3 more

The paper introduces OpenClawBench, a large-scale dataset and framework for measuring process-side anomalies in real-world agent execution trajectories, demonstrating that task success does not guaran…

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cs.CRcs.CVRecentApr 17, 2026

TwoHamsters: Benchmarking Multi-Concept Compositional Unsafety in Text-to-Image Models

Chaoshuo Zhang, Yibo Liang, Mengke Tian, Chenhao Lin +5 more

This paper introduces TwoHamsters, a new benchmark that rigorously tests Multi-Concept Compositional Unsafety (MCCU) in text-to-image models, demonstrating that current state-of-the-art models and saf…

View →
cs.CRcs.LGcs.SDRecentMar 18, 2026

STEP: Detecting Audio Backdoor Attacks via Stability-based Trigger Exposure Profiling

Kun Wang, Meng Chen, Junhao Wang, Yuli Wu +5 more

STEP introduces a novel, black-box, retraining-free detector that profiles audio samples using dual perturbation branches to detect backdoor attacks by exploiting the characteristic instability of hid…

View →