Cover Image

Watertox: The Art of Simplicity in Universal Attacks A Cross-Model Framework for Robust Adversarial Generation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Zhenghao, Xu, Shengjie, Chen, Meixi, Zhao, Fangyao
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Adversarial AI-Art: Understanding, Generation, Detection, and Benchmarking
by: Li, Yuying, et al.
Published: (2024)

AttackVLA: Benchmarking Adversarial and Backdoor Attacks on Vision-Language-Action Models
by: Li, Jiayu, et al.
Published: (2025)

Edge-Only Universal Adversarial Attacks in Distributed Learning
by: Rossolini, Giulio, et al.
Published: (2024)

Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)

Antelope: Potent and Concealed Jailbreak Attack Strategy
by: Zhao, Xin, et al.
Published: (2024)

Adversarial Robustness of Vision in Open Foundation Models
by: Fox, Jonathon, et al.
Published: (2025)

Fight Perturbations with Perturbations: Defending Adversarial Attacks via Neuron Influence
by: Chen, Ruoxi, et al.
Published: (2021)

CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models
by: Liu, Renyang, et al.
Published: (2026)

Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey
by: Zhang, Chenyu, et al.
Published: (2024)

Is RobustBench/AutoAttack a suitable Benchmark for Adversarial Robustness?
by: Lorenz, Peter, et al.
Published: (2021)

MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
by: Guo, Ping, et al.
Published: (2025)

Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
by: Oe, Issa, et al.
Published: (2025)

ROBIN: Robust and Invisible Watermarks for Diffusion Models with Adversarial Optimization
by: Huang, Huayang, et al.
Published: (2024)

Adversarial Universal Stickers: Universal Perturbation Attacks on Traffic Sign using Stickers
by: Etim, Anthony, et al.
Published: (2025)

Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AI
by: Chang, Ching-Chun, et al.
Published: (2025)

Beyond Vulnerabilities: A Survey of Adversarial Attacks as Both Threats and Defenses in Computer Vision Systems
by: Guo, Zhongliang, et al.
Published: (2025)

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
by: Xie, Yong, et al.
Published: (2024)

Detection of Adversarial Attacks in Robotic Perception
by: Sharawy, Ziad, et al.
Published: (2026)

On the Adversarial Robustness of Large Vision-Language Models under Visual Token Compression
by: Zhang, Xinwei, et al.
Published: (2026)

Who Can See Through You? Adversarial Shielding Against VLM-Based Attribute Inference Attacks
by: Fan, Yucheng, et al.
Published: (2025)

Autoencoder-based Denoising Defense against Adversarial Attacks on Object Detection
by: Song, Min Geun, et al.
Published: (2025)

CtrlAttack: A Unified Attack on World-Model Control in Diffusion Models
by: Xu, Shuhan, et al.
Published: (2026)

Attacking Transformers with Feature Diversity Adversarial Perturbation
by: Gao, Chenxing, et al.
Published: (2024)

One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
by: Fang, Hao, et al.
Published: (2024)

Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
by: Waghela, Hetvi, et al.
Published: (2024)

Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)

Region-Guided Attack on the Segment Anything Model (SAM)
by: Liu, Xiaoliang, et al.
Published: (2024)

A Robust Attack: Displacement Backdoor Attack
by: Li, Yong, et al.
Published: (2025)

Enhancing Adversarial Attacks: The Similar Target Method
by: Zhang, Shuo, et al.
Published: (2023)

DarkLLM: Learning Language-Driven Adversarial Attacks with Large Language Models
by: Sun, Ye, et al.
Published: (2026)

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
by: Zhang, Lei, et al.
Published: (2024)

CAPAA: Classifier-Agnostic Projector-Based Adversarial Attack
by: Li, Zhan, et al.
Published: (2025)

Unveiling Hidden Visual Information: A Reconstruction Attack Against Adversarial Visual Information Hiding
by: Jang, Jonggyu, et al.
Published: (2024)

Rethinking Robust Adversarial Concept Erasure in Diffusion Models
by: Yin, Qinghong, et al.
Published: (2025)

PLA: Prompt Learning Attack against Text-to-Image Generative Models
by: Lyu, Xinqi, et al.
Published: (2025)

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)

L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks
by: Guo, Ping, et al.
Published: (2024)

Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)

Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security
by: Fang, Xiang, et al.
Published: (2026)