Cover Image

TESSER: Transfer-Enhancing Adversarial Attacks from Vision Transformers via Spectral and Semantic Regularization

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Guesmi, Amira, Ouni, Bassem, Shafique, Muhammad
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TriQDef: Disrupting Semantic and Gradient Alignment to Prevent Adversarial Patch Transferability in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2025)

Breaking the Limits of Quantization-Aware Defenses: QADT-R for Robustness Against Patch-Based Adversarial Attacks in QNNs
by: Guesmi, Amira, et al.
Published: (2025)

SSAP: A Shape-Sensitive Adversarial Patch for Comprehensive Disruption of Monocular Depth Estimation in Autonomous Navigation Applications
by: Guesmi, Amira, et al.
Published: (2024)

ODDR: Outlier Detection & Dimension Reduction Based Defense Against Adversarial Patches
by: Chattopadhyay, Nandish, et al.
Published: (2023)

Navigating Threats: A Survey of Physical Adversarial Attacks on LiDAR Perception Systems in Autonomous Vehicles
by: Guesmi, Amira, et al.
Published: (2024)

DRIFT: Divergent Response in Filtered Transformations for Robust Adversarial Defense
by: Guesmi, Amira, et al.
Published: (2025)

Anomaly Unveiled: Securing Image Classification against Adversarial Patch Attacks
by: Chattopadhyay, Nandish, et al.
Published: (2024)

Exploring the Robustness and Transferability of Patch-Based Adversarial Attacks in Quantized Neural Networks
by: Guesmi, Amira, et al.
Published: (2024)

Do Not Leave a Gap: Hallucination-Free Object Concealment in Vision-Language Models
by: Guesmi, Amira, et al.
Published: (2026)

A Survey of Adversarial Defenses in Vision-based Systems: Categorization, Methods and Challenges
by: Chattopadhyay, Nandish, et al.
Published: (2025)

AdvART: Adversarial Art for Camouflaged Object Detection Attacks
by: Guesmi, Amira, et al.
Published: (2023)

APARATE: Adaptive Adversarial Patch for CNN-based Monocular Depth Estimation for Autonomous Navigation
by: Guesmi, Amira, et al.
Published: (2023)

ShrinkBox: Backdoor Attack on Object Detection to Disrupt Collision Avoidance in Machine Learning-based Advanced Driver Assistance Systems
by: Shahzad, Muhammad Zaeem, et al.
Published: (2025)

Exploring the Interplay of Interpretability and Robustness in Deep Neural Networks: A Saliency-guided Approach
by: Guesmi, Amira, et al.
Published: (2024)

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)

Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack
by: Jia, Xiaojun, et al.
Published: (2024)

Enhancing Adversarial Transferability via Component-Wise Transformation
by: Liu, Hangyu, et al.
Published: (2025)

Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers
by: Zheng, Weijie, et al.
Published: (2024)

Denoising Vision Transformer Autoencoder with Spectral Self-Regularization
by: Xiang, Xunzhi, et al.
Published: (2025)

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability
by: Nakka, Krishna Kanth, et al.
Published: (2025)

Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
by: Xie, Peng, et al.
Published: (2024)

Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajectory
by: Gao, Sensen, et al.
Published: (2024)

ViT-EnsembleAttack: Augmenting Ensemble Models for Stronger Adversarial Transferability in Vision Transformers
by: Cao, Hanwen, et al.
Published: (2025)

Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)

Enhancing Targeted Adversarial Attacks on Large Vision-Language Models via Intermediate Projector
by: Cao, Yiming, et al.
Published: (2025)

Towards Highly Transferable Vision-Language Attack via Semantic-Augmented Dynamic Contrastive Interaction
by: Li, Yuanbo, et al.
Published: (2026)

PatchBlock: A Lightweight Defense Against Adversarial Patches for Embedded EdgeAI Devices
by: Chattopadhyay, Nandish, et al.
Published: (2026)

Improving Adversarial Transferability in MLLMs via Dynamic Vision-Language Alignment Attack
by: Gu, Chenhe, et al.
Published: (2025)

SGHA-Attack: Semantic-Guided Hierarchical Alignment for Transferable Targeted Attacks on Vision-Language Models
by: Wang, Haobo, et al.
Published: (2026)

Imperceptible Face Forgery Attack via Adversarial Semantic Mask
by: Liu, Decheng, et al.
Published: (2024)

On Efficient Real-Time Semantic Segmentation: A Survey
by: Holder, Christopher J., et al.
Published: (2022)

Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
by: Ren, Yuchen, et al.
Published: (2025)

Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)

Robust ADAS: Enhancing Robustness of Machine Learning-based Advanced Driver Assistance Systems for Adverse Weather
by: Shahzad, Muhammad Zaeem, et al.
Published: (2024)

Latent Transfer Attack: Adversarial Examples via Generative Latent Spaces
by: Shaar, Eitan, et al.
Published: (2026)

Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
by: Jiang, Kaixun, et al.
Published: (2025)

Looking From the Future: Multi-order Iterations Can Enhance Adversarial Attack Transferability
by: Ying, Zijian, et al.
Published: (2024)

Semantic Graph Consistency: Going Beyond Patches for Regularizing Self-Supervised Vision Transformers
by: Devaguptapu, Chaitanya, et al.
Published: (2024)

Benchmarking Transferable Adversarial Attacks
by: Jin, Zhibo, et al.
Published: (2024)

Rethinking Model Ensemble in Transfer-based Adversarial Attacks
by: Chen, Huanran, et al.
Published: (2023)