:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Liu, Junlin, Lyu, Xinchen
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2401.13205
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)

Generating Transferrable Adversarial Examples via Local Mixing and Logits Optimization for Remote Sensing Object Recognition
by: Liu, Chun, et al.
Published: (2025)

UMSPU: Universal Multi-Size Phase Unwrapping via Mutual Self-Distillation and Adaptive Boosting Ensemble Segmenters
by: Du, Lintong, et al.
Published: (2024)

Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
by: Lin, Qinliang, et al.
Published: (2024)

AEMIM: Adversarial Examples Meet Masked Image Modeling
by: Xiang, Wenzhao, et al.
Published: (2024)

Imperceptible Adversarial Examples in the Physical World
by: Xu, Weilin, et al.
Published: (2024)

Exploring Semantic-constrained Adversarial Example with Instruction Uncertainty Reduction
by: Hu, Jin, et al.
Published: (2025)

Enhancing Adversarial Transferability in Visual-Language Pre-training Models via Local Shuffle and Sample-based Attack
by: Liu, Xin, et al.
Published: (2025)

Enhancing Generalization in Data-free Quantization via Mixup-class Prompting
by: Park, Jiwoong, et al.
Published: (2025)

Semi-Supervised Audio-Visual Video Action Recognition with Audio Source Localization Guided Mixup
by: Kang, Seokun, et al.
Published: (2025)

Seeing Through the Mask: Rethinking Adversarial Examples for CAPTCHAs
by: Jabary, Yahya, et al.
Published: (2024)

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
by: Sun, Youheng, et al.
Published: (2024)

Harnessing Shared Relations via Multimodal Mixup Contrastive Learning for Multimodal Classification
by: Kumar, Raja, et al.
Published: (2024)

Generative Adversarial Perturbations with Cross-paradigm Transferability on Localized Crowd Counting
by: Anisha, Alabi Mehzabin, et al.
Published: (2026)

Adversarial Examples in the Physical World: A Survey
by: Wang, Jiakai, et al.
Published: (2023)

DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
by: Hu, Jin, et al.
Published: (2024)

A Survey on Mixup Augmentations and Beyond
by: Jin, Xin, et al.
Published: (2024)

Watermark-embedded Adversarial Examples for Copyright Protection against Diffusion Models
by: Zhu, Peifei, et al.
Published: (2024)

TdAttenMix: Top-Down Attention Guided Mixup
by: Wang, Zhiming, et al.
Published: (2025)

Learning to Transform Dynamically for Better Adversarial Transferability
by: Zhu, Rongyi, et al.
Published: (2024)

PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
by: Zhang, Yudong, et al.
Published: (2024)

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability
by: Zeng, Hui, et al.
Published: (2025)

CalibrateMix: Guided-Mixup Calibration of Image Semi-Supervised Models
by: Rahman, Mehrab Mustafy, et al.
Published: (2025)

Robust Visual Tracking via Iterative Gradient Descent and Threshold Selection
by: Qi, Zhuang, et al.
Published: (2024)

Boosting Unconstrained Face Recognition with Targeted Style Adversary
by: Saadabadi, Mohammad Saeed Ebrahimi, et al.
Published: (2024)

A Paradigm Shift: Fully End-to-End Training for Temporal Sentence Grounding in Videos
by: He, Allen, et al.
Published: (2026)

SigFormer: Sparse Signal-Guided Transformer for Multi-Modal Human Action Segmentation
by: Liu, Qi, et al.
Published: (2023)

Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions
by: Pietrosanti, Giulia Marchiori, et al.
Published: (2025)

Devling into Adversarial Transferability on Image Classification: Review, Benchmark, and Evaluation
by: Wang, Xiaosen, et al.
Published: (2026)

Adversarial Wear and Tear: Exploiting Natural Damage for Generating Physical-World Adversarial Examples
by: Irshad, Samra, et al.
Published: (2025)

Region Mixup
by: Saha, Saptarshi, et al.
Published: (2024)

Transferable Adversarial Facial Images for Privacy Protection
by: Li, Minghui, et al.
Published: (2024)

Attacking the Spike: On the Transferability and Security of Spiking Neural Networks to Adversarial Examples
by: Xu, Nuo, et al.
Published: (2022)

One Step Closer: Creating the Future to Boost Monocular Semantic Scene Completion
by: Lu, Haoang, et al.
Published: (2025)

Sequential Difference Maximization: Generating Adversarial Examples via Multi-Stage Optimization
by: Liu, Xinlei, et al.
Published: (2025)

Adversarial Examples: Generation Proposal in the Context of Facial Recognition Systems
by: Fuster, Marina, et al.
Published: (2024)

Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

Transferable Adversarial Face Attack with Text Controlled Attribute
by: Li, Wenyun, et al.
Published: (2024)

Attribution for Enhanced Explanation with Transferable Adversarial eXploration
by: Zhu, Zhiyu, et al.
Published: (2024)

SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters
by: Cui, Jiahao, et al.
Published: (2024)