Saved in:
| Main Authors: | Xu, Xide, Butt, Muhammad Atif, Kamath, Sandesh, Raducanu, Bogdan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.16437 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
An h-space Based Adversarial Attack for Protection Against Few-shot Personalization
by: Xu, Xide, et al.
Published: (2025)
by: Xu, Xide, et al.
Published: (2025)
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
by: Kamath, Sandesh, et al.
Published: (2024)
by: Kamath, Sandesh, et al.
Published: (2024)
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
by: Laria, Héctor, et al.
Published: (2025)
by: Laria, Héctor, et al.
Published: (2025)
Assessing Open-world Forgetting in Generative Image Model Customization
by: Laria, Héctor, et al.
Published: (2024)
by: Laria, Héctor, et al.
Published: (2024)
Multi-label out-of-distribution detection via evidential learning
by: Aguilar, Eduardo, et al.
Published: (2025)
by: Aguilar, Eduardo, et al.
Published: (2025)
Personalized Federated Training of Diffusion Models with Privacy Guarantees
by: Patel, Kumar Kshitij, et al.
Published: (2025)
by: Patel, Kumar Kshitij, et al.
Published: (2025)
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
by: Miao, Boming, et al.
Published: (2024)
by: Miao, Boming, et al.
Published: (2024)
Exploring Adversarial Attacks against Latent Diffusion Model from the Perspective of Adversarial Transferability
by: Chen, Junxi, et al.
Published: (2024)
by: Chen, Junxi, et al.
Published: (2024)
Model-agnostic Adversarial Attack and Defense for Vision-Language-Action Models
by: Xu, Haochuan, et al.
Published: (2025)
by: Xu, Haochuan, et al.
Published: (2025)
Concept Unlearning via Cross-Attention Activation Projection for Diffusion Models
by: Moon, Saemi, et al.
Published: (2026)
by: Moon, Saemi, et al.
Published: (2026)
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
MedFL-Stress: A Systematic Robustness Evaluation of Federated Brain Tumor Segmentation under Cross-Hospital MRI Appearance Shift
by: Naseer, Kiran, et al.
Published: (2026)
by: Naseer, Kiran, et al.
Published: (2026)
Adversarial Robustification via Text-to-Image Diffusion Models
by: Choi, Daewon, et al.
Published: (2024)
by: Choi, Daewon, et al.
Published: (2024)
Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
VIP: Visual Information Protection through Adversarial Attacks on Vision-Language Models
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
by: Meftah, Hanene F. Z. Brachemi, et al.
Published: (2025)
Break the Visual Perception: Adversarial Attacks Targeting Encoded Visual Tokens of Large Vision-Language Models
by: Wang, Yubo, et al.
Published: (2024)
by: Wang, Yubo, et al.
Published: (2024)
Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings
by: Swaminathan, Arjhun, et al.
Published: (2025)
by: Swaminathan, Arjhun, et al.
Published: (2025)
Privacy Attacks on Image AutoRegressive Models
by: Kowalczuk, Antoni, et al.
Published: (2025)
by: Kowalczuk, Antoni, et al.
Published: (2025)
Privacy-Preserving Low-Rank Adaptation against Membership Inference Attacks for Latent Diffusion Models
by: Luo, Zihao, et al.
Published: (2024)
by: Luo, Zihao, et al.
Published: (2024)
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
by: Li, Jiyao, et al.
Published: (2024)
by: Li, Jiyao, et al.
Published: (2024)
Improving Adversarial Energy-Based Model via Diffusion Process
by: Geng, Cong, et al.
Published: (2024)
by: Geng, Cong, et al.
Published: (2024)
Attention Frequency Modulation: Training-Free Spectral Modulation of Diffusion Cross-Attention
by: Oh, Seunghun, et al.
Published: (2026)
by: Oh, Seunghun, et al.
Published: (2026)
Opportunistic Target Selection: Early Directional Commitment for Query-Efficient Black-Box Adversarial Attacks
by: Tariolle, Florent, et al.
Published: (2026)
by: Tariolle, Florent, et al.
Published: (2026)
Multi-Task Learning for Visually Grounded Reasoning in Gastrointestinal VQA
by: Safwan, Itbaan, et al.
Published: (2025)
by: Safwan, Itbaan, et al.
Published: (2025)
Boosting Adversarial Transferability via Ensemble Non-Attention
by: Zou, Yipeng, et al.
Published: (2025)
by: Zou, Yipeng, et al.
Published: (2025)
GC-GAT: Multimodal Vehicular Trajectory Prediction using Graph Goal Conditioning and Cross-context Attention
by: Gulzar, Mahir, et al.
Published: (2025)
by: Gulzar, Mahir, et al.
Published: (2025)
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
by: Butt, Muhammad Atif, et al.
Published: (2024)
by: Butt, Muhammad Atif, et al.
Published: (2024)
Benchmarking Transferable Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Transform-Dependent Adversarial Attacks
by: Tan, Yaoteng, et al.
Published: (2024)
by: Tan, Yaoteng, et al.
Published: (2024)
Continual Personalization for Diffusion Models
by: Liao, Yu-Chien, et al.
Published: (2025)
by: Liao, Yu-Chien, et al.
Published: (2025)
Makeup-Guided Facial Privacy Protection via Untrained Neural Network Priors
by: Shamshad, Fahad, et al.
Published: (2024)
by: Shamshad, Fahad, et al.
Published: (2024)
What is Adversarial Training for Diffusion Models?
by: Rosaria, Briglia Maria, et al.
Published: (2025)
by: Rosaria, Briglia Maria, et al.
Published: (2025)
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
by: S, Neha A, et al.
Published: (2024)
by: S, Neha A, et al.
Published: (2024)
Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Blind Ultrasound Image Enhancement via Self-Supervised Physics-Guided Degradation Modeling
by: Khan, Shujaat, et al.
Published: (2026)
by: Khan, Shujaat, et al.
Published: (2026)
TIMED: Adversarial and Autoregressive Refinement of Diffusion-Based Time Series Generation
by: EskandariNasab, MohammadReza, et al.
Published: (2025)
by: EskandariNasab, MohammadReza, et al.
Published: (2025)
Dynamic Adversarial Attacks on Autonomous Driving Systems
by: Chahe, Amirhosein, et al.
Published: (2023)
by: Chahe, Amirhosein, et al.
Published: (2023)
Attention-based Class-Conditioned Alignment for Multi-Source Domain Adaptation of Object Detectors
by: Belal, Atif, et al.
Published: (2024)
by: Belal, Atif, et al.
Published: (2024)
Investigating the Effectiveness of Cross-Attention to Unlock Zero-Shot Editing of Text-to-Video Diffusion Models
by: Motamed, Saman, et al.
Published: (2024)
by: Motamed, Saman, et al.
Published: (2024)
Attack Anything: Blind DNNs via Universal Background Adversarial Attack
by: Lian, Jiawei, et al.
Published: (2024)
by: Lian, Jiawei, et al.
Published: (2024)
Similar Items
-
An h-space Based Adversarial Attack for Protection Against Few-shot Personalization
by: Xu, Xide, et al.
Published: (2025) -
The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
by: Kamath, Sandesh, et al.
Published: (2024) -
Leveraging Semantic Attribute Binding for Free-Lunch Color Control in Diffusion Models
by: Laria, Héctor, et al.
Published: (2025) -
Assessing Open-world Forgetting in Generative Image Model Customization
by: Laria, Héctor, et al.
Published: (2024) -
Multi-label out-of-distribution detection via evidential learning
by: Aguilar, Eduardo, et al.
Published: (2025)