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From the 1 of 12 linked papers with an AI index.

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12 papers

cs.CV2026

UniNDM: A Unified Noise-driven Detection and Mitigation Framework Against Sexual Content in Text-to-Image Generation

Yao Huang, Yitong Sun, Huanran Chen +8

Despite the impressive generative capabilities of text-to-image diffusion models, they remain vulnerable to implicit sexual prompts, where subtle cues disguised as benign terms or…

cs.CV2026

PersGuard: Preventing Malicious Personalization in Text-to-Image Diffusion Models via Model Backdoors

Xinwei Liu, Xiaojun Jia, Yuan Xun +2

The paper proposes PersGuard, a backdoor-based method that embeds protective triggers into pre‑trained text‑to‑image diffusion models so that unauthorized fine‑tuning on protected…

cs.CR2026

SkillJect: Effectively Automating Skill-Based Prompt Injection for Skill-Enabled Agents

Xiaojun Jia, Jie Liao, Simeng Qin +5

Agent skills extend LLM agents with task-specific instructions, executable scripts, and auxiliary resources, improving reusability but creating a new supply-chain attack surface. A…

cs.CR2026

Need to Know: Contextual-Integrity-Grounded Query Rewriting for Privacy-Conscious LLM Delegation

Xinyue Huang, Xiaochun Cao, Wenyuan Yang

As LLMs become increasingly woven into everyday workflows, user queries sent to cloud hosted LLMs routinely mix task-essential content with task non-essential sensitive disclosures…

cs.AI2026

Reasoning as an Attack Surface: Adaptive Evolutionary CoT Jailbreaks for LLMs

Jianan Li, Simeng Qin, Xiaojun Jia +5

Large Reasoning Models (LRMs) have demonstrated remarkable capabilities in reasoning and generation tasks and are increasingly deployed in real-world applications. However, their e…

cs.CL2026

Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment

Ruoxi Cheng, Haoxuan Ma, Weixin Wang +7

Alignment is vital for safely deploying large language models (LLMs). Existing techniques are either reward-based (training a reward model on preference pairs and optimizing with r…