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Generating Natural Language Adversarial Examples [PDF]
Conference on Empirical Methods in Natural Language Processing, 2018 Deep neural networks (DNNs) are vulnerable to adversarial examples, perturbations to correctly classified examples which can cause the model to misclassify.
M. Alzantot +5 more
semanticscholar +1 more source
Adversarial Examples in Embedded Systems
, 2023 Machine learning algorithms are used for inference and decision-making in embedded systems. Sensor data is used to train machine learning models for various smart functions of embedded and cyber-physical systems ranging from applications in healthcare ...
Sah, Ramesh
core +1 more source
Adversarial Examples Generation Method Based on Random Translation Transformation [PDF]
Jisuanji gongcheng, 2022 The image classification model based on Deep Neural Network(DNN) can recognize images with a recognition degree that is even higher than that of human eyes.However, it is vulnerable to attacks from adversarial examples because of the fragility of the ...
LI Zheming, ZHANG Hengwei, MA Junqiang, WANG Jindong, YANG Bo
doaj +1 more source
Are adversarial examples inevitable?
CoRR, 2018 ISBN:978-1-7138-7273 ...
Shafahi, Ali +4 more
openaire +4 more sources
Using Single-Step Adversarial Training to Defend Iterative Adversarial Examples
, 2021 Adversarial examples are among the biggest challenges for machine learning models, especially neural network classifiers. Adversarial examples are inputs manipulated with perturbations insignificant to humans while being able to fool machine learning ...
Khreishah, Abdallah +5 more
core +1 more source
A Multimodal Adversarial Attack Framework Based on Local and Random Search Algorithms
International Journal of Computational Intelligence Systems, 2021 Although many problems in computer vision and natural language processing have made breakthrough progress with neural networks, adversarial attack is a serious potential problem in many neural network- based applications.
Zibo Yi, Jie Yu, Yusong Tan, Qingbo Wu
doaj +1 more source
Adversarial Examples for Electrocardiograms
CoRR, 2019 In recent years, the electrocardiogram (ECG) has seen a large diffusion in both medical and commercial applications, fueled by the rise of single-lead versions. Single-lead ECG can be embedded in medical devices and wearable products such as the injectable Medtronic Linq monitor, the iRhythm Ziopatch wearable monitor, and the Apple Watch Series 4 ...
Xintian Han +5 more
openaire +2 more sources
Adversarial attacks and defenses in deep learning
网络与信息安全学报, 2020 The adversarial example is a modified image that is added imperceptible perturbations,which can make deep neural networks decide wrongly.The adversarial examples seriously threaten the availability of the system and bring great security risks to the ...
Ximeng LIU +3 more
doaj +3 more sources
Certified Robustness to Adversarial Examples with Differential Privacy [PDF]
IEEE Symposium on Security and Privacy, 2018 Adversarial examples that fool machine learning models, particularly deep neural networks, have been a topic of intense research interest, with attacks and defenses being developed in a tight back-and-forth.
Mathias Lécuyer +4 more
semanticscholar +1 more source
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks [PDF]
, 2023 While the literature on security attacks and defense of Machine Learning (ML) systems mostly focuses on unrealistic adversarial examples, recent research has raised concern about the under-explored field of realistic adversarial attacks and their ...
Simonetto, Thibault +6 more
core +1 more source