Query-efficient decision-based attack via sampling distribution reshaping

Coupled-dynamic Learning for Vision and Language: Exploring Interaction between Different Tasks

(2021) Ning Xu 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

Adaptive iterative attack towards explainable adversarial robustness

(2020) Yucheng Shi et al.   PATTERN RECOGNITION

Ensemble adversarial black-box attacks against deep learning systems

(2020) Jie Hang et al.   PATTERN RECOGNITION

Universal Adversarial Perturbations against Object Detection

(2020) Debang Li et al.   PATTERN RECOGNITION

Steganographic universal adversarial perturbations

(2020) Salah Ud Din et al.   PATTERN RECOGNITION LETTERS

When Deep Learning Meets Metric Learning: Remote Sensing Image Scene Classification via Learning Discriminative CNNs

(2018) Gong Cheng et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

The Robustness of Deep Networks: A Geometrical Perspective

(2017) Alhussein Fawzi et al.   IEEE SIGNAL PROCESSING MAGAZINE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Multi-environment model adaptation based on vector Taylor series for robust speech recognition

(2010) Yong Lü et al.   PATTERN RECOGNITION

Invited paper: Automatic speech recognition: History, methods and challenges

(2008) Douglas O’Shaughnessy   PATTERN RECOGNITION