Dynamic Parameter Optimization for Highly Transferable Transformation-Based Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Jiaming, Pun, Chi-Man |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks
by: Liang, Jiaming, et al.
Published: (2026)
by: Liang, Jiaming, et al.
Published: (2026)
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
by: Liang, Jiaming, et al.
Published: (2026)
by: Liang, Jiaming, et al.
Published: (2026)
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
by: Liang, Jiaming, et al.
Published: (2026)
by: Liang, Jiaming, et al.
Published: (2026)
Efficient Preemptive Robustification with Image Sharpening
by: Liang, Jiaming, et al.
Published: (2026)
by: Liang, Jiaming, et al.
Published: (2026)
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
by: Gu, Chenhe, et al.
Published: (2025)
by: Gu, Chenhe, et al.
Published: (2025)
Benchmarking Transferable Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)
by: Jin, Zhibo, et al.
Published: (2024)
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
by: Liu, Yaohua, et al.
Published: (2024)
by: Liu, Yaohua, et al.
Published: (2024)
Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
by: Zhuang, Weiwei, et al.
Published: (2026)
by: Zhuang, Weiwei, et al.
Published: (2026)
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
by: Baras, Amit, et al.
Published: (2023)
by: Baras, Amit, et al.
Published: (2023)
Transform-Dependent Adversarial Attacks
by: Tan, Yaoteng, et al.
Published: (2024)
by: Tan, Yaoteng, et al.
Published: (2024)
Similarity of Neural Architectures using Adversarial Attack Transferability
by: Hwang, Jaehui, et al.
Published: (2022)
by: Hwang, Jaehui, et al.
Published: (2022)
Transfer Learning with Point Transformers
by: Gupta, Kartik, et al.
Published: (2024)
by: Gupta, Kartik, et al.
Published: (2024)
Enhancing Parameter-Efficient Fine-Tuning of Vision Transformers through Frequency-Based Adaptation
by: Ly, Son Thai, et al.
Published: (2024)
by: Ly, Son Thai, et al.
Published: (2024)
AIM: Additional Image Guided Generation of Transferable Adversarial Attacks
by: Li, Teng, et al.
Published: (2025)
by: Li, Teng, et al.
Published: (2025)
Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)
by: Hu, Kai, et al.
Published: (2025)
DRO-Augment Framework: Robustness by Synergizing Wasserstein Distributionally Robust Optimization and Data Augmentation
by: Hu, Jiaming, et al.
Published: (2025)
by: Hu, Jiaming, et al.
Published: (2025)
Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)
by: Liu, Zhenyu, et al.
Published: (2024)
Adaptive Parameter Optimization for Robust Remote Photoplethysmography
by: Morales, Cecilia G., et al.
Published: (2025)
by: Morales, Cecilia G., et al.
Published: (2025)
Attention Transfer Is Not Universally Effective for Vision Transformers
by: Qin, Huaiyuan, et al.
Published: (2026)
by: Qin, Huaiyuan, et al.
Published: (2026)
Kinect Calibration and Data Optimization For Anthropometric Parameters
by: Gokmen, M. S., et al.
Published: (2024)
by: Gokmen, M. S., et al.
Published: (2024)
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
by: Fang, Zhengwei, et al.
Published: (2022)
by: Fang, Zhengwei, et al.
Published: (2022)
Does Combining Parameter-efficient Modules Improve Few-shot Transfer Accuracy?
by: Asadi, Nader, et al.
Published: (2024)
by: Asadi, Nader, et al.
Published: (2024)
Exploring Adversarial Watermarking in Transformer-Based Models: Transferability and Robustness Against Defense Mechanism for Medical Images
by: Sadik, Rifat, et al.
Published: (2025)
by: Sadik, Rifat, et al.
Published: (2025)
Rethink Arbitrary Style Transfer with Transformer and Contrastive Learning
by: Zhang, Zhanjie, et al.
Published: (2024)
by: Zhang, Zhanjie, et al.
Published: (2024)
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers
by: Lo, Ka Man, et al.
Published: (2024)
by: Lo, Ka Man, et al.
Published: (2024)
Which Model to Transfer? A Survey on Transferability Estimation
by: Ding, Yuhe, et al.
Published: (2024)
by: Ding, Yuhe, et al.
Published: (2024)
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models
by: Yang, Juncheng, et al.
Published: (2024)
by: Yang, Juncheng, et al.
Published: (2024)
X-Transfer Attacks: Towards Super Transferable Adversarial Attacks on CLIP
by: Huang, Hanxun, et al.
Published: (2025)
by: Huang, Hanxun, et al.
Published: (2025)
Automating Parameter Selection in Deep Image Prior for Fluorescence Microscopy Image Denoising via Similarity-Based Parameter Transfer
by: Meyer, Lina, et al.
Published: (2026)
by: Meyer, Lina, et al.
Published: (2026)
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
by: Yang, Hunmin, et al.
Published: (2024)
by: Yang, Hunmin, et al.
Published: (2024)
Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)
by: Kong, Dehong, et al.
Published: (2025)
Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation
by: Bhat, Prashant Shivaram, et al.
Published: (2025)
by: Bhat, Prashant Shivaram, et al.
Published: (2025)
PostRainBench: A comprehensive benchmark and a new model for precipitation forecasting
by: Tang, Yujin, et al.
Published: (2023)
by: Tang, Yujin, et al.
Published: (2023)
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of Parameters
by: Salwig, Sebastian, et al.
Published: (2025)
by: Salwig, Sebastian, et al.
Published: (2025)
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
by: Li, Jiyao, et al.
Published: (2024)
by: Li, Jiyao, et al.
Published: (2024)
Universal and Transferable Attacks on Pathology Foundation Models
by: Wang, Yuntian, et al.
Published: (2025)
by: Wang, Yuntian, et al.
Published: (2025)
Sparse and Transferable Universal Singular Vectors Attack
by: Kuvshinova, Kseniia, et al.
Published: (2024)
by: Kuvshinova, Kseniia, et al.
Published: (2024)
Variance-Based Defense Against Blended Backdoor Attacks
by: Aseervatham, Sujeevan, et al.
Published: (2025)
by: Aseervatham, Sujeevan, et al.
Published: (2025)
Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
by: Tian, Bowen, et al.
Published: (2024)
by: Tian, Bowen, et al.
Published: (2024)
ELSA: Exploiting Layer-wise N:M Sparsity for Vision Transformer Acceleration
by: Huang, Ning-Chi, et al.
Published: (2024)
by: Huang, Ning-Chi, et al.
Published: (2024)
Similar Items
-
A Unified Spatial Alignment Framework for Highly Transferable Transformation-Based Attacks on Spatially Structured Tasks
by: Liang, Jiaming, et al.
Published: (2026) -
OTI: A Model-free and Visually Interpretable Measure of Image Attackability
by: Liang, Jiaming, et al.
Published: (2026) -
Control Your View: High-Resolution Global Semantic Manipulation in Learned Image Compression
by: Liang, Jiaming, et al.
Published: (2026) -
Efficient Preemptive Robustification with Image Sharpening
by: Liang, Jiaming, et al.
Published: (2026) -
Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
by: Gu, Chenhe, et al.
Published: (2025)