:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Shiqi, Khosravy, Mahdi, Gupta, Neeraj, Witkowski, Olaf
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2601.12624
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Robust Content Watermarking Against Removal and Forgery Attacks
by: Zhu, Yifan, et al.
Published: (2026)

Consistent Attack: Universal Adversarial Perturbation on Embodied Vision Navigation
by: Ying, Chengyang, et al.
Published: (2022)

UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification
by: Pellicer, Alvaro Lopez, et al.
Published: (2024)

Toward Inherently Robust VLMs Against Visual Perception Attacks
by: MohajerAnsari, Pedram, et al.
Published: (2025)

Boosting Adversarial Transferability via Residual Perturbation Attack
by: Peng, Jinjia, et al.
Published: (2025)

Towards Robust Nonlinear Subspace Clustering: A Kernel Learning Approach
by: Xu, Kunpeng, et al.
Published: (2025)

Lipschitz-Based Robustness Certification Under Floating-Point Execution
by: Murray, Toby
Published: (2026)

Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
by: Kong, Weizhe, et al.
Published: (2025)

Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation
by: Jiang, Shiyi, et al.
Published: (2025)

Toward Universal and Transferable Jailbreak Attacks on Vision-Language Models
by: Cui, Kaiyuan, et al.
Published: (2026)

Perturbation on Feature Coalition: Towards Interpretable Deep Neural Networks
by: Hu, Xuran, et al.
Published: (2024)

Forget Vectors at Play: Universal Input Perturbations Driving Machine Unlearning in Image Classification
by: Sun, Changchang, et al.
Published: (2024)

Non-Parametric Probabilistic Robustness: A Conservative Risk Estimator under Unknown Perturbation Distributions
by: Wang, Zheng, et al.
Published: (2025)

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
by: Zhang, Yechao, et al.
Published: (2025)

Towards Robust Multimodal Representation: A Unified Approach with Adaptive Experts and Alignment
by: Moradinasab, Nazanin, et al.
Published: (2025)

Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial Attacks
by: Zhang, Lei, et al.
Published: (2024)

Beyond Full Poisoning: Effective Availability Attacks with Partial Perturbation
by: Zhe, Yu, et al.
Published: (2024)

Attack Anything: Blind DNNs via Universal Background Adversarial Attack
by: Lian, Jiawei, et al.
Published: (2024)

Unlearning Concepts from Text-to-Video Diffusion Models
by: Liu, Shiqi, et al.
Published: (2024)

Towards Adversarially Robust Dataset Distillation by Curvature Regularization
by: Xue, Eric, et al.
Published: (2024)

Towards Large Model Feature Coding
by: Pang, Youwei, et al.
Published: (2026)

Towards Robust Protective Perturbation against DeepFake Face Swapping
by: Yao, Hengyang, et al.
Published: (2025)

Universal Backdoor Attacks
by: Schneider, Benjamin, et al.
Published: (2023)

Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)

Physically-Induced Atmospheric Adversarial Perturbations: Enhancing Transferability and Robustness in Remote Sensing Image Classification
by: Zhuang, Weiwei, et al.
Published: (2026)

FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
by: Dotzel, Jordan, et al.
Published: (2023)

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
by: Hu, Hanjiang, et al.
Published: (2023)

Data-Free Universal Attack by Exploiting the Intrinsic Vulnerability of Deep Models
by: Yan, YangTian, et al.
Published: (2025)

Universal and Transferable Attacks on Pathology Foundation Models
by: Wang, Yuntian, et al.
Published: (2025)

Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
by: Dibbo, Sayanton V., et al.
Published: (2024)

LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
by: Zhang, Yiheng, et al.
Published: (2024)

Towards Class-wise Robustness Analysis
by: Medi, Tejaswini, et al.
Published: (2024)

Prompting Forgetting: Unlearning in GANs via Textual Guidance
by: Nagasubramaniam, Piyush, et al.
Published: (2025)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks
by: Liu, Zhenyu, et al.
Published: (2024)

Generated Contents Enrichment
by: Naseri, Mahdi, et al.
Published: (2024)

Detecting Adversarial Data using Perturbation Forgery
by: Wang, Qian, et al.
Published: (2024)

Uncertainty-Aware Subset Selection for Robust Visual Explainability under Distribution Shifts
by: Gupta, Madhav, et al.
Published: (2025)

FLARE: Toward Universal Dataset Purification against Backdoor Attacks
by: Hou, Linshan, et al.
Published: (2024)

Training Image Derivatives: Increased Accuracy and Universal Robustness
by: Avrutskiy, Vsevolod I.
Published: (2023)

GOMA: Toward Structure-Driven Multimodal Alignment from a Graph Signal Smoothing Perspective
by: Wang, Xu, et al.
Published: (2026)