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20212026
most citedBackdoor Defense via Adaptively Splitting Poisoned Dataset

4 citations · 22 across the 29 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

Information Blackhole: Exploring Backdoor Mechanism in 3D Point Cloud Reconstruction

Zhifei Yang, Xiuping Liu, Kuofeng Gao +3

Point cloud autoencoders are fundamental components for 3D world representation and support many safety-critical downstream applications. Existing studies have extensively investig…

cs.CR2026

MemVenom: Triggered Poisoning of Multimodal Memories in Web Agents

Yv Zhang, Hao Sun, Hao Fang +5

External memory has become a core component of modern web agents, enabling long-horizon reasoning through the retrieval of past experiences. However, this paradigm introduces a cri…

cs.CR2025

JPRO: Automated Multimodal Jailbreaking via Multi-Agent Collaboration Framework

Yuxuan Zhou, Yang Bai, Kuofeng Gao +2

The widespread application of large VLMs makes ensuring their secure deployment critical. While recent studies have demonstrated jailbreak attacks on VLMs, existing approaches are…

cs.CR2025

Why Does Weak-OOD Help? A Further Step Towards Understanding Jailbreaking VLMs

Yuxuan Zhou, Yuzhao Peng, Yang Bai +7

Large Vision-Language Models (VLMs) are susceptible to jailbreak attacks: researchers have developed various attack strategies that bypass the safety mechanisms of VLMs. Among thes…

cs.CR2024★ 1 cited

Denial-of-Service Poisoning Attacks against Large Language Models

Kuofeng Gao, Tianyu Pang, Chao Du +3

Recent studies have shown that LLMs are vulnerable to denial-of-service (DoS) attacks, where adversarial inputs like spelling errors or non-semantic prompts trigger endless outputs…

cs.CR2024

PointNCBW: Towards Dataset Ownership Verification for Point Clouds via Negative Clean-label Backdoor Watermark

Cheng Wei, Yang Wang, Kuofeng Gao +4

Recently, point clouds have been widely used in computer vision, whereas their collection is time-consuming and expensive. As such, point cloud datasets are the valuable intellectu…