Improving Transferability of Adversarial Examples via Bayesian Attacks
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Qizhang, Guo, Yiwen, Yang, Xiaochen, Zuo, Wangmeng, Chen, Hao |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
by: Li, Qizhang, et al.
Published: (2024)
by: Li, Qizhang, et al.
Published: (2024)
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
by: Li, Qizhang, et al.
Published: (2024)
by: Li, Qizhang, et al.
Published: (2024)
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
by: Peng, Heqi, et al.
Published: (2024)
by: Peng, Heqi, et al.
Published: (2024)
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)
by: Fan, Mingyuan, et al.
Published: (2022)
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
by: Ren, Yuchen, et al.
Published: (2024)
by: Ren, Yuchen, et al.
Published: (2024)
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)
by: Peng, Jinjia, et al.
Published: (2025)
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks
by: Shao, Mingwen, et al.
Published: (2023)
by: Shao, Mingwen, et al.
Published: (2023)
Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks
by: Wu, Tao, et al.
Published: (2025)
by: Wu, Tao, et al.
Published: (2025)
Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, 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)
Improving the Transferability of Adversarial Attacks by an Input Transpose
by: Wan, Qing, et al.
Published: (2025)
by: Wan, Qing, et al.
Published: (2025)
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
by: Yilmaz, Eda, et al.
Published: (2024)
by: Yilmaz, Eda, et al.
Published: (2024)
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
by: Li, Shuai, et al.
Published: (2024)
by: Li, Shuai, 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)
Transferability Bound Theory: Exploring Relationship between Adversarial Transferability and Flatness
by: Fan, Mingyuan, et al.
Published: (2023)
by: Fan, Mingyuan, et al.
Published: (2023)
Enhancing Adversarial Example Detection Through Model Explanation
by: Ma, Qian, et al.
Published: (2025)
by: Ma, Qian, et al.
Published: (2025)
Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach
by: Huang, Linhao, et al.
Published: (2025)
by: Huang, Linhao, et al.
Published: (2025)
Latent Geometric Chords for Query-Efficient Decision-Based Adversarial Attacks
by: Khine, Ei Hmue, et al.
Published: (2026)
by: Khine, Ei Hmue, et al.
Published: (2026)
Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
by: Xu, Nuo, et al.
Published: (2022)
by: Xu, Nuo, et al.
Published: (2022)
SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images
by: Fan, Mingyuan, et al.
Published: (2024)
by: Fan, Mingyuan, et al.
Published: (2024)
Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks using Hyperparameter Tuning
by: Zimmer, Pascal, et al.
Published: (2025)
by: Zimmer, Pascal, et al.
Published: (2025)
Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
by: Cheng, Shuyu, et al.
Published: (2024)
by: Cheng, Shuyu, et al.
Published: (2024)
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise
by: Liu, Yixin, et al.
Published: (2023)
by: Liu, Yixin, et al.
Published: (2023)
One-Index Vector Quantization Based Adversarial Attack on Image Classification
by: Fan, Haiju, et al.
Published: (2024)
by: Fan, Haiju, et al.
Published: (2024)
$σ$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
by: Zhang, Lei, et al.
Published: (2024)
by: Zhang, Lei, 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)
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
by: Heidarizadeh, Akram, et al.
Published: (2025)
by: Heidarizadeh, Akram, et al.
Published: (2025)
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023)
by: Zhao, Zhengyu, et al.
Published: (2023)
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
by: Wang, Xuyang, et al.
Published: (2025)
by: Wang, Xuyang, et al.
Published: (2025)
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
by: Wang, Jiafeng, et al.
Published: (2022)
by: Wang, Jiafeng, et al.
Published: (2022)
Artwork Protection Against Neural Style Transfer Using Locally Adaptive Adversarial Color Attack
by: Guo, Zhongliang, et al.
Published: (2024)
by: Guo, Zhongliang, et al.
Published: (2024)
Sparse and Transferable Universal Singular Vectors Attack
by: Kuvshinova, Kseniia, et al.
Published: (2024)
by: Kuvshinova, Kseniia, et al.
Published: (2024)
Adversarial Attack On Yolov5 For Traffic And Road Sign Detection
by: Jain, Sanyam
Published: (2023)
by: Jain, Sanyam
Published: (2023)
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
by: Ying, Chengyang, et al.
Published: (2022)
by: Ying, Chengyang, et al.
Published: (2022)
DataFreeShield: Defending Adversarial Attacks without Training Data
by: Lee, Hyeyoon, et al.
Published: (2024)
by: Lee, Hyeyoon, et al.
Published: (2024)
Data-free Defense of Black Box Models Against Adversarial Attacks
by: Nayak, Gaurav Kumar, et al.
Published: (2022)
by: Nayak, Gaurav Kumar, et al.
Published: (2022)
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering
by: Hull, Matthew, et al.
Published: (2024)
by: Hull, Matthew, et al.
Published: (2024)
Similar Items
-
Improved Generation of Adversarial Examples Against Safety-aligned LLMs
by: Li, Qizhang, et al.
Published: (2024) -
Deciphering the Chaos: Enhancing Jailbreak Attacks via Adversarial Prompt Translation
by: Li, Qizhang, et al.
Published: (2024) -
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
by: Peng, Heqi, et al.
Published: (2024) -
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022) -
Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path
by: Ren, Yuchen, et al.
Published: (2024)