Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Shuai, Jiang, Xiaoyu, Ma, Xiaoguang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Adversarial Example Detection Through Model Explanation
by: Ma, Qian, et al.
Published: (2025)
by: Ma, Qian, et al.
Published: (2025)
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022)
by: Fan, Mingyuan, et al.
Published: (2022)
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)
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023)
by: Li, Qizhang, et al.
Published: (2023)
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)
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
by: Cinà, Antonio Emanuele, et al.
Published: (2024)
Adversarial Examples are Misaligned in Diffusion Model Manifolds
by: Lorenz, Peter, et al.
Published: (2024)
by: Lorenz, Peter, 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)
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
by: Yu, Yi, et al.
Published: (2025)
by: Yu, Yi, et al.
Published: (2025)
Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
by: Ying, Chengyang, et al.
Published: (2022)
by: Ying, Chengyang, 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)
$σ$-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)
Defensive Adversarial CAPTCHA: A Semantics-Driven Framework for Natural Adversarial Example Generation
by: Du, Xia, et al.
Published: (2025)
by: Du, Xia, et al.
Published: (2025)
Adversarial Training against Location-Optimized Adversarial Patches
by: Rao, Sukrut, et al.
Published: (2020)
by: Rao, Sukrut, et al.
Published: (2020)
Continual Adversarial Defense
by: Wang, Qian, et al.
Published: (2023)
by: Wang, Qian, et al.
Published: (2023)
Penny Wise, Pixel Foolish: Bypassing Price Constraints in Multimodal Agents via Visual Adversarial Perturbations
by: Qian, Jiachen, et al.
Published: (2026)
by: Qian, Jiachen, et al.
Published: (2026)
Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
by: Oskouie, Haniyeh Ehsani, et al.
Published: (2022)
Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
by: Piras, Giorgio, et al.
Published: (2024)
by: Piras, Giorgio, et al.
Published: (2024)
Adversarial Example Generation using Evolutionary Multi-objective Optimization
by: Suzuki, Takahiro, et al.
Published: (2019)
by: Suzuki, Takahiro, et al.
Published: (2019)
AdLift: Lifting Adversarial Perturbations to Safeguard 3D Gaussian Splatting Assets Against Instruction-Driven Editing
by: Hong, Ziming, et al.
Published: (2025)
by: Hong, Ziming, et al.
Published: (2025)
Breaking Semantic-Aware Watermarks via LLM-Guided Coherence-Preserving Semantic Injection
by: Gao, Zheng, et al.
Published: (2026)
by: Gao, Zheng, et al.
Published: (2026)
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 Adversarial Training using Vulnerability-Aware Perturbation Budget
by: Fakorede, Olukorede, et al.
Published: (2024)
by: Fakorede, Olukorede, et al.
Published: (2024)
Transferable Adversarial Attacks on SAM and Its Downstream Models
by: Xia, Song, et al.
Published: (2024)
by: Xia, Song, et al.
Published: (2024)
Benchmarking Adversarial Patch Selection and Location
by: Kimhi, Shai, et al.
Published: (2025)
by: Kimhi, Shai, et al.
Published: (2025)
Adversarial Defenses via Vector Quantization
by: Dong, Zhiyi, et al.
Published: (2023)
by: Dong, Zhiyi, et al.
Published: (2023)
Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights
by: Zhao, Zhengyu, et al.
Published: (2023)
by: Zhao, Zhengyu, et al.
Published: (2023)
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)
AICAttack: Adversarial Image Captioning Attack with Attention-Based Optimization
by: Li, Jiyao, et al.
Published: (2024)
by: Li, Jiyao, et al.
Published: (2024)
Interpretability-Guided Test-Time Adversarial Defense
by: Kulkarni, Akshay, et al.
Published: (2024)
by: Kulkarni, Akshay, et al.
Published: (2024)
Adversary-Guided Motion Retargeting for Skeleton Anonymization
by: Carr, Thomas, et al.
Published: (2024)
by: Carr, Thomas, 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)
One-Index Vector Quantization Based Adversarial Attack on Image Classification
by: Fan, Haiju, et al.
Published: (2024)
by: Fan, Haiju, et al.
Published: (2024)
Reliable Disentanglement Multi-view Learning Against View Adversarial Attacks
by: Wang, Xuyang, et al.
Published: (2025)
by: Wang, Xuyang, 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)
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
by: Yu, Daiwei, et al.
Published: (2024)
by: Yu, Daiwei, et al.
Published: (2024)
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)
SLICE: Semantic Latent Injection via Compartmentalized Embedding for Image Watermarking
by: Gao, Zheng, et al.
Published: (2026)
by: Gao, Zheng, et al.
Published: (2026)
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness
by: Deng, Jieren, et al.
Published: (2024)
by: Deng, Jieren, et al.
Published: (2024)
Similar Items
-
Enhancing Adversarial Example Detection Through Model Explanation
by: Ma, Qian, et al.
Published: (2025) -
Transferable Adversarial Examples with Bayes Approach
by: Fan, Mingyuan, et al.
Published: (2022) -
AED-PADA:Improving Generalizability of Adversarial Example Detection via Principal Adversarial Domain Adaptation
by: Peng, Heqi, et al.
Published: (2024) -
Improving Transferability of Adversarial Examples via Bayesian Attacks
by: Li, Qizhang, et al.
Published: (2023) -
Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
by: Yilmaz, Eda, et al.
Published: (2024)