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cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2026

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…

cs.CR2025

Secure and Robust Watermarking for AI-generated Images: A Comprehensive Survey

Jie Cao, Qi Li, Zelin Zhang +2

The rapid progress of Generative Artificial Intelligence (GenAI) has enabled the effortless synthesis of high-quality visual content, while simultaneously raising pressing concerns…