NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
Fuente:
arXiv
Guardado en:
| Autores principales: | Nakka, Krishna Kanth, Alahi, Alexandre |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
por: Nakka, Krishna Kanth
Publicado: (2025)
por: Nakka, Krishna Kanth
Publicado: (2025)
From Steering to Pedalling: Do Autonomous Driving VLMs Generalize to Cyclist-Assistive Spatial Perception and Planning?
por: Nakka, Krishna Kanth, et al.
Publicado: (2026)
por: Nakka, Krishna Kanth, et al.
Publicado: (2026)
Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
por: Gao, Yang, et al.
Publicado: (2025)
por: Gao, Yang, et al.
Publicado: (2025)
FG$^2$: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
por: Xia, Zimin, et al.
Publicado: (2025)
por: Xia, Zimin, et al.
Publicado: (2025)
Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting
por: Messaoud, Kaouther, et al.
Publicado: (2025)
por: Messaoud, Kaouther, et al.
Publicado: (2025)
Body Part-Based Representation Learning for Occluded Person Re-Identification
por: Somers, Vladimir, et al.
Publicado: (2022)
por: Somers, Vladimir, et al.
Publicado: (2022)
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
por: Liu, Yuejiang, et al.
Publicado: (2024)
por: Liu, Yuejiang, et al.
Publicado: (2024)
SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching
por: Haghighi, Yasaman, et al.
Publicado: (2026)
por: Haghighi, Yasaman, et al.
Publicado: (2026)
Loc$^2$: Interpretable Cross-View Localization via Depth-Lifted Local Feature Matching
por: Xia, Zimin, et al.
Publicado: (2025)
por: Xia, Zimin, et al.
Publicado: (2025)
Ocular Disease Classification Using CNN with Deep Convolutional Generative Adversarial Network
por: Kunwar, Arun, et al.
Publicado: (2025)
por: Kunwar, Arun, et al.
Publicado: (2025)
Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
por: Ying, Zijian, et al.
Publicado: (2024)
por: Ying, Zijian, et al.
Publicado: (2024)
Benchmarking Transferable Adversarial Attacks
por: Jin, Zhibo, et al.
Publicado: (2024)
por: Jin, Zhibo, et al.
Publicado: (2024)
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
por: Chen, Huanran, et al.
Publicado: (2023)
por: Chen, Huanran, et al.
Publicado: (2023)
Keypoint Promptable Re-Identification
por: Somers, Vladimir, et al.
Publicado: (2024)
por: Somers, Vladimir, et al.
Publicado: (2024)
TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization
por: Guesmi, Amira, et al.
Publicado: (2025)
por: Guesmi, Amira, et al.
Publicado: (2025)
VoxDet: Rethinking 3D Semantic Occupancy Prediction as Dense Object Detection
por: Li, Wuyang, et al.
Publicado: (2025)
por: Li, Wuyang, et al.
Publicado: (2025)
Distillation-Enhanced Physical Adversarial Attacks
por: Liu, Wei, et al.
Publicado: (2025)
por: Liu, Wei, et al.
Publicado: (2025)
Improving Visual Quality and Transferability of Adversarial Attacks on Face Recognition Simultaneously with Adversarial Restoration
por: Zhou, Fengfan, et al.
Publicado: (2023)
por: Zhou, Fengfan, et al.
Publicado: (2023)
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
por: Xie, Peng, et al.
Publicado: (2024)
por: Xie, Peng, et al.
Publicado: (2024)
Real-World Transferable Adversarial Attack on Face-Recognition Systems
por: Kaznacheev, Andrey, et al.
Publicado: (2025)
por: Kaznacheev, Andrey, et al.
Publicado: (2025)
Attention-aggregated Attack for Boosting the Transferability of Facial Adversarial Examples
por: Li, Jian-Wei, et al.
Publicado: (2025)
por: Li, Jian-Wei, et al.
Publicado: (2025)
CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks
por: Fang, Hao, et al.
Publicado: (2024)
por: Fang, Hao, et al.
Publicado: (2024)
Natias: Neuron Attribution based Transferable Image Adversarial Steganography
por: Fan, Zexin, et al.
Publicado: (2024)
por: Fan, Zexin, et al.
Publicado: (2024)
RUMPL: Ray-Based Transformers for Universal Multi-View 2D to 3D Human Pose Lifting
por: Ghasemzadeh, Seyed Abolfazl, et al.
Publicado: (2025)
por: Ghasemzadeh, Seyed Abolfazl, et al.
Publicado: (2025)
MPL: Lifting 3D Human Pose from Multi-view 2D Poses
por: Ghasemzadeh, Seyed Abolfazl, et al.
Publicado: (2024)
por: Ghasemzadeh, Seyed Abolfazl, et al.
Publicado: (2024)
Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation
por: Hassan, Mariam, et al.
Publicado: (2026)
por: Hassan, Mariam, et al.
Publicado: (2026)
Multi-Transmotion: Pre-trained Model for Human Motion Prediction
por: Gao, Yang, et al.
Publicado: (2024)
por: Gao, Yang, et al.
Publicado: (2024)
SITA: Structurally Imperceptible and Transferable Adversarial Attacks for Stylized Image Generation
por: Kang, Jingdan, et al.
Publicado: (2025)
por: Kang, Jingdan, et al.
Publicado: (2025)
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
por: Zhou, Fengfan, et al.
Publicado: (2024)
por: Zhou, Fengfan, et al.
Publicado: (2024)
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
por: Huang, Yao, et al.
Publicado: (2023)
por: Huang, Yao, et al.
Publicado: (2023)
Probing Unlearned Diffusion Models: A Transferable Adversarial Attack Perspective
por: Han, Xiaoxuan, et al.
Publicado: (2024)
por: Han, Xiaoxuan, et al.
Publicado: (2024)
Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
por: Shaar, Eitan, et al.
Publicado: (2026)
por: Shaar, Eitan, et al.
Publicado: (2026)
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
por: Jiang, Kaixun, et al.
Publicado: (2025)
por: Jiang, Kaixun, et al.
Publicado: (2025)
Instance-Level Trojan Attacks on Visual Question Answering via Adversarial Learning in Neuron Activation Space
por: Sun, Yuwei, et al.
Publicado: (2023)
por: Sun, Yuwei, et al.
Publicado: (2023)
Towards Calibration Enhanced Network by Inverse Adversarial Attack
por: Cheng, Yupeng, et al.
Publicado: (2025)
por: Cheng, Yupeng, et al.
Publicado: (2025)
Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion
por: Miao, Honglei, et al.
Publicado: (2024)
por: Miao, Honglei, et al.
Publicado: (2024)
Anchored Video Generation: Decoupling Scene Construction and Temporal Synthesis in Text-to-Video Diffusion Models
por: Hassan, Mariam, et al.
Publicado: (2025)
por: Hassan, Mariam, et al.
Publicado: (2025)
Social-Mamba: Socially-Aware Trajectory Forecasting with State-Space Models
por: Luan, Po-Chien, et al.
Publicado: (2026)
por: Luan, Po-Chien, et al.
Publicado: (2026)
Transfer Attack for Bad and Good: Explain and Boost Adversarial Transferability across Multimodal Large Language Models
por: Cheng, Hao, et al.
Publicado: (2024)
por: Cheng, Hao, et al.
Publicado: (2024)
FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks
por: Yang, Hunmin, et al.
Publicado: (2024)
por: Yang, Hunmin, et al.
Publicado: (2024)
Ejemplares similares
-
Mammo-SAE: Interpreting Breast Cancer Concept Learning with Sparse Autoencoders
por: Nakka, Krishna Kanth
Publicado: (2025) -
From Steering to Pedalling: Do Autonomous Driving VLMs Generalize to Cyclist-Assistive Spatial Perception and Planning?
por: Nakka, Krishna Kanth, et al.
Publicado: (2026) -
Social-Pose: Enhancing Trajectory Prediction with Human Body Pose
por: Gao, Yang, et al.
Publicado: (2025) -
FG$^2$: Fine-Grained Cross-View Localization by Fine-Grained Feature Matching
por: Xia, Zimin, et al.
Publicado: (2025) -
Towards Generalizable Trajectory Prediction Using Dual-Level Representation Learning And Adaptive Prompting
por: Messaoud, Kaouther, et al.
Publicado: (2025)