Adversarial Attacks on Automatic Speech Recognition (ASR): A Survey
IEEE AccessAutomatic Speech Recognition (ASR) systems have improved and eased how humans interact with devices. ASR system converts an acoustic waveform into the relevant text form.
Amisha Rajnikant Bhanushali +2 more
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A Comprehensive Review on Adversarial Attack Detection Analysis in Deep Learning
, 2023 Soni Kumari, Sheshang Degadwala
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Adversarial detection based on feature invariant in license plate recognition systems
网络与信息安全学报Deep neural networks have become an integral part of people's daily lives. However, researchers observed that these networks were susceptible to threats from adversarial samples, leading to abnormal behaviors such as misclassification by the network ...
ZHU Xiaoyu +4 more
doaj
FAMF: Robust Feature-Level Adversarial Attack on Metric-Based Few-Shot Learning Models
IEEE AccessFew-shot learning has emerged as the primary approach for tasks with extremely limited training data. In particular, metric-based few-shot learning has been highlighted for enabling effective generalization to new tasks by comparing feature similarity ...
Gwang-Nam Kim +4 more
doaj +1 more source
Robustness of Sparsely Distributed Representations to Adversarial Attacks in Deep Neural Networks. [PDF]
Entropy (Basel), 2023 Sardar N, Khan S, Hintze A, Mehra P.
europepmc +1 more source
Attack and Reset for Unlearning: Exploiting Adversarial Noise toward Machine Unlearning through Parameter Re-initialization [PDF]
Yoonhwa Jung +3 more
openalex +1 more source
Defeating Adversarial Attacks Againt Adversarial attacks in Network Security
, 2022 Ehsan Nowroozi +5 more
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Recurrent Attention Model with Log-Polar Mapping is Robust against Adversarial Attacks [PDF]
, 2020 Taro Kiritani, Koji Ono
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Textile and colour defect detection using deep learning methods
Coloration Technology, EarlyView.Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui +2 more
wiley +1 more source
EIFDAA: Evaluation of an IDS with function-discarding adversarial attacks in the IIoT. [PDF]
Heliyon, 2023 Li S, Wang J, Wang Y, Zhou G, Zhao Y.
europepmc +1 more source