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20232026
most citedA Survey on Transferability of Adversarial Examples across Deep Neural Networks

11 citations · 24 across the 24 of their papers we have counts for

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5 papers · 1 filter

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.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.CV2026

SGHA-Attack: Semantic-Guided Hierarchical Alignment for Transferable Targeted Attacks on Vision-Language Models

Haobo Wang, Weiqi Luo, Xiaojun Jia +1

Large vision-language models (VLMs) are vulnerable to transfer-based adversarial perturbations, enabling attackers to optimize on surrogate models and manipulate black-box VLM outp…

cs.CR2026★ 1 cited

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…