Boosting transferability of physical attack against detectors by redistributing separable attention

Query efficient black-box adversarial attack on deep neural networks

(2022) Yang Bai et al.   PATTERN RECOGNITION

Adversarial scratches: Deployable attacks to CNN classifiers

(2022) Loris Giulivi et al.   PATTERN RECOGNITION

Robust Physical-World Attacks on Face Recognition

(2022) Xin Zheng et al.   PATTERN RECOGNITION

Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation

(2021) Yatie Xiao et al.   PATTERN RECOGNITION

A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

(2021) Arka Ghosh et al.   PATTERN RECOGNITION

Relevance attack on detectors

(2021) Sizhe Chen et al.   PATTERN RECOGNITION

Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification

(2020) Zhiqiang Gong et al.   IEEE Transactions on Neural Networks and Learning Systems

Towards a physical-world adversarial patch for blinding object detection models

(2020) Yajie Wang et al.   INFORMATION SCIENCES

A CNN With Multiscale Convolution and Diversified Metric for Hyperspectral Image Classification

(2019) Zhiqiang Gong et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

(2018) Battista Biggio et al.   PATTERN RECOGNITION

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE