:: Library Catalog

Saved in:

Bibliographic Details
Main Authors:	Cheng, Zhiyuan, Liu, Zhaoyi, Guo, Tengda, Feng, Shiwei, Liu, Dongfang, Tang, Mingjie, Zhang, Xiangyu
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2404.00924
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World Attacks
by: Cheng, Zhiyuan, et al.
Published: (2024)

Black-box Adversarial Attacks Against Image Quality Assessment Models
by: Ran, Yu, et al.
Published: (2024)

Fusion is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
by: Cheng, Zhiyuan, et al.
Published: (2023)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

Attack as Defense: Run-time Backdoor Implantation for Image Content Protection
by: Zhang, Haichuan, et al.
Published: (2024)

Scaling Laws for Black box Adversarial Attacks
by: Liu, Chuan, et al.
Published: (2024)

PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
by: Jing, Lihua, et al.
Published: (2024)

RL-JACK: Reinforcement Learning-powered Black-box Jailbreaking Attack against LLMs
by: Chen, Xuan, et al.
Published: (2024)

Multi-task Adversarial Attacks against Black-box Model with Few-shot Queries
by: Wang, Wenqiang, et al.
Published: (2025)

A General Black-box Adversarial Attack on Graph-based Fake News Detectors
by: Zhu, Peican, et al.
Published: (2024)

Steal Now and Attack Later: Evaluating Robustness of Object Detection against Black-box Adversarial Attacks
by: Chen, Erh-Chung, et al.
Published: (2024)

BadPatch: Diffusion-Based Generation of Physical Adversarial Patches
by: Wang, Zhixiang, et al.
Published: (2024)

ZQBA: Zero Query Black-box Adversarial Attack
by: Costa, Joana C., et al.
Published: (2025)

PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
by: Guo, Ping, et al.
Published: (2024)

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks
by: Kang, Caixin, et al.
Published: (2023)

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

Shedding Light on VLN Robustness: A Black-box Framework for Indoor Lighting-based Adversarial Attack
by: Li, Chenyang, et al.
Published: (2025)

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)

Spectral Masking and Interpolation Attack (SMIA): A Black-box Adversarial Attack against Voice Authentication and Anti-Spoofing Systems
by: Kamel, Kamel, et al.
Published: (2025)

Black-box Targeted Adversarial Attack on Segment Anything (SAM)
by: Zheng, Sheng, et al.
Published: (2023)

Black-box Adversarial Attacks on CNN-based SLAM Algorithms
by: Gkeka, Maria Rafaela, et al.
Published: (2025)

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator
by: Gao, Xiangbo, et al.
Published: (2022)

Distributed Black-box Attack: Do Not Overestimate Black-box Attacks
by: Wu, Han, et al.
Published: (2022)

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

Robustness Analysis against Adversarial Patch Attacks in Fully Unmanned Stores
by: Na, Hyunsik, et al.
Published: (2025)

BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization
by: Kumar, Satyadwyoom, et al.
Published: (2024)

BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language Models
by: Wu, Zhengxian, et al.
Published: (2025)

Pixel-Optimization-Free Patch Attack on Stereo Depth Estimation
by: Liu, Hangcheng, et al.
Published: (2025)

Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas
by: Oe, Issa, et al.
Published: (2025)

Latent Danger Zone: Distilling Unified Attention for Cross-Architecture Black-box Attacks
by: Li, Yang, et al.
Published: (2025)

Couler: Unified Machine Learning Workflow Optimization in Cloud
by: Wang, Xiaoda, et al.
Published: (2024)

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks
by: Zheng, Meixi, et al.
Published: (2023)

Hard-label based Small Query Black-box Adversarial Attack
by: Park, Jeonghwan, et al.
Published: (2024)

Efficient Black-box Adversarial Attacks via Bayesian Optimization Guided by a Function Prior
by: Cheng, Shuyu, et al.
Published: (2024)

The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems
by: Song, Hongru, et al.
Published: (2025)

Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
by: Zhao, Xinjian, et al.
Published: (2024)

Fast Adversarial Training against Textual Adversarial Attacks
by: Yang, Yichen, et al.
Published: (2024)

Defending against Patch-Based and Texture-Based Adversarial Attacks with Spectral Decomposition
by: Zhang, Wei, et al.
Published: (2026)

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking
by: Long, Jiahuan, et al.
Published: (2025)

Real-world Adversarial Defense against Patch Attacks based on Diffusion Model
by: Wei, Xingxing, et al.
Published: (2024)