Image de couverture de livre

Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Chen, Junxi, Dong, Junhao, Xie, Xiaohua
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition Cryptography and Security Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and Challenges
par: Dong, Junhao, et autres
Publié: (2023)

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
par: Kang, Caixin, et autres
Publié: (2023)

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
par: Wei, Xingxing, et autres
Publié: (2024)

Transferable Adversarial Attacks on SAM and Its Downstream Models
par: Xia, Song, et autres
Publié: (2024)

Improving Transferability of Adversarial Examples via Bayesian Attacks
par: Li, Qizhang, et autres
Publié: (2023)

Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
par: Fan, Mingyuan, et autres
Publié: (2023)

Boosting Adversarial Transferability via Residual Perturbation Attack
par: Peng, Jinjia, et autres
Publié: (2025)

Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking
par: Chen, Junxi, et autres
Publié: (2025)

Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
par: Khine, Ei Hmue, et autres
Publié: (2026)

Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
par: Wu, Tao, et autres
Publié: (2025)

Adversarial Training against Location-Optimized Adversarial Patches
par: Rao, Sukrut, et autres
Publié: (2020)

Transferable Adversarial Examples with Bayes Approach
par: Fan, Mingyuan, et autres
Publié: (2022)

Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
par: Luo, Zihao, et autres
Publié: (2024)

AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
par: Li, Jiyao, et autres
Publié: (2024)

Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
par: Yilmaz, Eda, et autres
Publié: (2024)

Improving the Transferability of Adversarial Attacks by an Input Transpose
par: Wan, Qing, et autres
Publié: (2025)

Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
par: Huang, Linhao, et autres
Publié: (2025)

AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
par: Cinà, Antonio Emanuele, et autres
Publié: (2024)

A Survey on Physical Adversarial Attacks against Face Recognition Systems
par: Wang, Mingsi, et autres
Publié: (2024)

Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
par: Heidarizadeh, Akram, et autres
Publié: (2025)

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
par: Zimmer, Pascal, et autres
Publié: (2025)

Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
par: Guo, Zhongliang, et autres
Publié: (2024)

Data-free Defense of Black Box Models Against Adversarial Attacks
par: Nayak, Gaurav Kumar, et autres
Publié: (2022)

Attack Anything: Blind DNNs via Universal Background Adversarial Attack
par: Lian, Jiawei, et autres
Publié: (2024)

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
par: Yu, Yi, et autres
Publié: (2025)

One-Index Vector Quantization Based Adversarial Attack on Image Classification
par: Fan, Haiju, et autres
Publié: (2024)

SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
par: Fan, Mingyuan, et autres
Publié: (2024)

Adversarial Attack On Yolov5 For Traffic And Road Sign Detection
par: Jain, Sanyam
Publié: (2023)

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
par: Ying, Chengyang, et autres
Publié: (2022)

Adversarial Defenses via Vector Quantization
par: Dong, Zhiyi, et autres
Publié: (2023)

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation
par: Liu, Bochao, et autres
Publié: (2024)

DisDet: Exploring Detectability of Backdoor Attack on Diffusion Models
par: Sui, Yang, et autres
Publié: (2024)

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
par: Zhao, Zhengyu, et autres
Publié: (2023)

Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning
par: Fan, Mingyuan, et autres
Publié: (2025)

DataFreeShield: Defending Adversarial Attacks without Training Data
par: Lee, Hyeyoon, et autres
Publié: (2024)

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
par: Zhang, Lei, et autres
Publié: (2024)

RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
par: Hull, Matthew, et autres
Publié: (2024)

Enhancing Remote Adversarial Patch Attacks on Face Detectors with Tiling and Scaling
par: Okano, Masora, et autres
Publié: (2024)

Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
par: Wang, Xuyang, et autres
Publié: (2025)

Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
par: Zheng, Junhao, et autres
Publié: (2024)