7 papers
MarkNull: Model-Agnostic Watermark Removal in AI-Generated Images via On-Manifold Latent Manipulation
Jie Cao, Qi Li, Zelin Zhang +4
Digital watermarking has emerged as a critical technique for provenance and copyright attribution in AI-generated imagery, yet its robustness against realistic, model-agnostic remo…
LoginTrap: Uncovering Task-Agnostic Phishing-Style Indirect Prompt Injection Attacks against LLM-based Web Agents
Longtao Guo, Zelin Zhang, Kaifeng Huang +1
LLM-based web agents automate user tasks by observing webpages and executing browser actions on behalf of users. As these agents operate on real web services, login becomes a sensi…
Security, Privacy, and Ethical Risks in OpenClaw
Yutong Jin, Zelin Zhang, Zhijin Lyu +1
This paper systematically investigates the security, privacy, and ethical risks, as well as the traceability challenges of OpenClaw, a locally executable AI agent system for natura…
Are Watermarked Images Editable? SafeMark for Watermark-Preserving Text-Guided Image Editing
Xiaodong Wu, Qi Li, Xiangman Li +3
This paper investigates a fundamental yet underexplored question: can watermarked images remain editable without compromising watermark integrity? We propose SafeMark, a framework…
From AI-Generated Content to Agentic Action: Security and Safety Threats in Generative AI
Zelin Zhang, Qi Li, Jie Cao +2
Generative AI systems are increasingly used not only to produce content but also to retrieve data, invoke tools, and execute actions. This work examines the security and safety imp…
MarkSweep: A No-box Removal Attack on AI-Generated Image Watermarking via Noise Intensification and Frequency-aware Denoising
Jie Cao, Zelin Zhang, Qi Li +1
AI watermarking embeds invisible signals within images to provide provenance information and identify content as AI-generated. In this paper, we introduce MarkSweep, a novel waterm…