Zero-Query Transfer Attacks on Context-Aware Object Detectors-Reference-Cited by-同舟云学术

Zero-Query Transfer Attacks on Context-Aware Object Detectors

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
language:
Short-container-title:

Author:

Cai Zikui¹,Rane Shantanu²,Brito Alejandro E.²,Song Chengyu¹,Krishnamurthy Srikanth V.¹,Roy-Chowdhury Amit K.¹,Asif M. Salman¹

Affiliation:

1. University of California,Riverside,USA

2. Palo Alto Research Center,Palo Alto,USA

Funder

Defense Advanced Research Projects Agency

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9878378/9878366/09878451.pdf?arnumber=9878451

Reference63 articles.

1. Libra R-CNN: Towards Balanced Learning for Object Detection

2. Top-down control of visual attention in object detection

3. Delving into transferable adversarial examples and black-box attacks;liu;5th International Conference on Learning Representations ICLR 2017 - Conference Track Proceedings,2017

4. Dpatch: An adversarial patch attack on object detectors;liu;In AAAI Workshop on Artificial Intelligence Safety (SafeAI),2019

5. Towards Robust Neural Networks via Random Self-ensemble

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Lightweight Cross-Domain Authentication Scheme for Securing Wireless IoT Devices Using Backscatter Communication;IEEE Internet of Things Journal;2024-06-15

2. Adversarial patch-based false positive creation attacks against aerial imagery object detectors;Neurocomputing;2024-04

3. Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning;Cognitive Systems Research;2024-03

4. Ensemble-based Blackbox Attacks on Dense Prediction;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR);2023-06

5. CBA: Contextual Background Attack Against Optical Aerial Detection in the Physical World;IEEE Transactions on Geoscience and Remote Sensing;2023