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20242026
most citedPEFTGuard: Detecting Backdoor Attacks Against Parameter-Efficient Fine-Tuning

10 citations · 16 across the 30 of their papers we have counts for

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11 papers · 1 filter

cs.CV2026

Answer It or Not? Towards Prompt-Adapted Adversarial Images on Vision Language Models

Shunyuan Bai, Yuchen Ren, Le Yang +3

With the advancement in language modeling, research on adversarial images has recently shifted from image classifiers to vision-language models (VLMs). Despite the new, text-prompt…

cs.CV2026

Do Video Generators Track the World Across Segments? A Benchmark and Method for World-State Reasoning in Video Continuation

Yingmao Miao, Pengfei Zhang, Chaoran Xu +5

Video generators build long videos by composing shorter parts, either by generating segments one after another or by autoregressively extending chunks. Each new part usually depend…

cs.CV2026

Detecting Object Hallucinations in Large Vision-Language Models via Cross-Modal Attention Drifts and Mask-Based Verification

Xuanbing Wen, Boxu Chen, Le Yang +4

Despite recent advances in large vision-language models (LVLMs), object hallucination remains a major barrier to their reliable deployment. Existing detection methods often charact…

cs.CV2026

Detecting Backdoors in Object Detection via Pre-NMS Prediction Distribution Shift

Longtian Wang, Zhengyu Zhao, Chenhao Lin +5

Object detection models deployed in safety-critical applications remain vulnerable to backdoor attacks that cause targeted misbehaviors when a hidden trigger is present. Existing d…

cs.SD2026

UOT-IR: Structured Routing of High-Polyphony Symbolic Music into Fixed-Budget Representations

Ziyue Kang, Nan Nan, Chenhao Lin +1

High-polyphony symbolic music is increasingly used in generation, analysis, and arrangement, yet many downstream tasks require bounded representations with fixed tracks or slots. C…

cs.CV2026

Evaluation-Verification Reward for Consistent Multi-Reference Image Editing

Yingmao Miao, Pengfei Zhang, Xiaochen Lv +5

While recent image editing models have made rapid progress, multi-reference editing remains challenging, particularly in maintaining visual consistency across references and ensuri…

cs.CR2026

Alignment Is Local: A Paired Diagnostic for GUI Agents under User-Side Persuasion

Haoxin An, Yunpeng Song, Zihao Bai +6

Trustworthy deployment of GUI agents in ubiquitous computing settings requires alignment that survives dynamic interaction and precise threat conditions, not just single-turn refus…

cs.RO2026

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning

Zishuo Li, Bowen Yang, Changtao Miao +29

Egocentric videos of human manipulation provide scalable supervision for embodied intelligence, yet existing resources rarely combine low-cost continuous capture, manipulation-leve…

cs.CV2026

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

Yuchen Ren, Zhengyu Zhao, Chenhao Lin +2

Vision-Language Pre-training Models (VLPMs) are known to be vulnerable to adversarial attacks. Recent transferable attacks on VLPMs have followed a common pipeline with complicated…

cs.CV2026

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection

Hang Wang, Chao Shen, Chenhao Lin +3

The proliferation of advanced AI video synthesis techniques poses an unprecedented challenge to digital video authenticity. Existing AI-generated video (AIGV) detection methods pri…

cs.CV2026

When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm

Ye Leng, Junjie Chu, Mingjie Li +5

Recently, multimodal large language models (MLLMs) have emerged as a unified paradigm for language and image generation. Compared with diffusion models, MLLMs possess a much strong…