Black-Box Adversarial Attacks

Overview

Black-box adversarial attacks ask how an attacker can cause an AI system to misclassify, produce unsafe output, or take an unwanted action without access to its internal parameters or gradients. Methods use feedback from model queries—such as labels, scores, or responses—with decision-boundary search, finite differences, bandits, evolutionary or reinforcement-learning optimization; others craft perturbations on surrogate models and rely on transfer to unseen targets. Work spans images and physical patches, text and jailbreak prompts, audio, graphs, malware detectors, and tool-using or multimodal agents, often under constraints such as limited queries, imperceptibility, and preserving input meaning or function. Key tensions include whether attacks transfer across architectures and real-world transformations, how to compare them under fair query budgets, and whether defenses can resist adaptive attacks without sacrificing clean performance or utility.

Latest papers

CardsList

175 papers16 papers in the last four weeks, down 6% on the four weeks before. 0.1% of all new papers.

  1. Led to Mislead: Adversarial Content Injection for Attacks on Neural Ranking Models

    May 2, 2026Amin Bigdeli, Amir Khosrojerdi, Radin Hamidi Rad +3Learning to RankAdversarial Attacks

  2. Low Rank Adaptation for Adversarial Perturbation

    Apr 30, 2026Han Liu, Shanghao Shi, Yevgeniy Vorobeychik +2Adversarial AttacksLow-Rank Approximation

  3. Agentic Adversarial Rewriting Exposes Architectural Vulnerabilities in Black-Box NLP Pipelines

    Apr 26, 2026Mazal Bethany, Kim-Kwang Raymond Choo, Nishant Vishwamitra +1Fake News DetectionAdversarial Prompt Generation

  4. EvoJail: Evolutionary Diverse Jailbreak Prompt Generation for Large Language Models

    Apr 22, 2026Rui Tang, Kaiyu Xu, Pengsen Cheng +3Adversarial Prompt GenerationLLM Jailbreak Attacks

  5. Beyond Explicit Refusals: Soft-Failure Attacks on Retrieval-Augmented Generation

    Apr 20, 2026Wentao Zhang, Yan Zhuang, ZhuHang Zheng +3Retrieval-Augmented GenerationRAG Security

  6. When Background Matters: Breaking Medical Vision Language Models by Transferable Attack

    Apr 19, 2026Akash Ghosh, Subhadip Baidya, Sriparna Saha +1VLM RobustnessAdversarial Attacks on VLMs

  7. Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization

    Apr 16, 2026Haochun Tang, Yuliang Yan, Jiahua Lu +2Adversarial Prompt GenerationCost-Aware Inference

  8. Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification

    Apr 16, 2026Weiwei Zhuang, Wangze Xie, Qi Zhang +9Remote Sensing Image UnderstandingTransfer-Based Adversarial Attacks

  9. Fragile Reconstruction: Adversarial Vulnerability of Reconstruction-Based Detectors for Diffusion-Generated Images

    Apr 14, 2026Haoyang Jiang, Mingyang Yi, Shaolei Zhang +4Adversarial Attacks on AI-Generated Image DetectorsAI-Generated Image Detection

  10. HQA-VLAttack: Towards High Quality Adversarial Attack on Vision-Language Pre-Trained Models

    Apr 14, 2026Han Liu, Jiaqi Li, Zhi Xu +5Adversarial Attacks on VLMsBlack-Box Adversarial Attacks

  11. Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language Models

    Apr 13, 2026Shuhao Zhang, Yuli Chen, Jiale Han +2Adversarial Attacks on LLMsLLM Watermarking

  12. Are GUI Agents Focused Enough? Automated Distraction via Semantic-level UI Element Injection

    Apr 9, 2026Wenkui Yang, Chao Jin, Haisu Zhu +7GUI AgentsAI Agent Security

  13. Reading Between the Pixels: An Inscriptive Jailbreak Attack on Text-to-Image Models

    Apr 7, 2026Zonghao Ying, Haowen Dai, Lianyu Hu +5Black-Box Adversarial AttacksSafe T2I Generation

  14. Adversarial Robustness of Deep State Space Models for Forecasting

    Apr 3, 2026Sribalaji C. Anand, George J. PappasAdversarial RobustnessState Space Models

  15. Low-Effort Jailbreak Attacks Against Text-to-Image Safety Filters

    Apr 2, 2026Ahmed B Mustafa, Zihan Ye, Yang Lu +2Adversarial Attacks on VLMsSafe T2I Generation

  16. From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera

    Mar 30, 2026Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy Vatolin +1Adversarial AttacksAdversarial Patch Attacks

  17. DTP-Attack: A decision-based black-box adversarial attack on trajectory prediction

    Mar 27, 2026Jiaxiang Li, Jun Yan, Daniel Watzenig +1Black-Box Adversarial AttacksAdversarial Robustness

  18. Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search

    Mar 25, 2026Yulin Shen, Xudong Pan, Geng Hong +1Prompt Injection Attacks on AI AgentsMCP Security

  19. AdvSplat: Adversarial Attacks on Feed-Forward Gaussian Splatting Models

    Mar 24, 2026Yiran Qiao, Yiren Lu, Yunlai Zhou +4Adversarial Perturbations3D Gaussian Splatting

  20. Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates

    Mar 23, 2026Samrendra Roy, Kazuma Kobayashi, Souvik Chakraborty +2Adversarial RobustnessNeural Operators

  21. JANUS: A Lightweight Framework for Jailbreaking Text-to-Image Models via Distribution Optimization

    Mar 22, 2026Haolun Zheng, Yu He, Tailun Chen +6Adversarial Attacks on VLMsBlack-Box Adversarial Attacks

  22. Can LLMs Fool Graph Learning? Exploring Universal Adversarial Attacks on Text-Attributed Graphs

    Mar 22, 2026Zihui Chen, Yuling Wang, Pengfei Jiao +4Adversarial Text AttacksText-Attributed Graph Learning

  23. OmniPatch: A Universal Adversarial Patch for ViT-CNN Cross-Architecture Transfer in Semantic Segmentation

    Mar 21, 2026Aarush Aggarwal, Akshat Tomar, Amritanshu Tiwari +1Adversarial Patch AttacksAdversarial Attacks

  24. REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models

    Mar 17, 2026Yong Zou, Haoran Li, Fanxiao Li +5Adversarial AttacksAdversarial Robustness

  25. AI Evasion and Impersonation Attacks on Facial Re-Identification with Activation Map Explanations

    Mar 16, 2026Noe Claudel, Weisi Guo, Yang XingAdversarial AttacksAdversarial Patch Attacks

  26. PISmith: Reinforcement Learning-based Red Teaming for Prompt Injection Defenses

    Mar 13, 2026Chenlong Yin, Runpeng Geng, Yanting Wang +1Prompt Injection Attacks on LLMsLLM Red Teaming

  27. PivotAttack: Rethinking the Search Trajectory in Hard-Label Text Attacks via Pivot Words

    Mar 11, 2026Yuzhi Liang, Shiliang Xiao, Jingsong Wei +2Adversarial Text AttacksBlack-Box Adversarial Attacks