Results 91 to 100 of about 16,308 (300)
Adaptive Perturbation for Adversarial Attack
IEEE Transactions on Pattern Analysis and Machine IntelligenceIn recent years, the security of deep learning models achieves more and more attentions with the rapid development of neural networks, which are vulnerable to adversarial examples. Almost all existing gradient-based attack methods use the sign function in the generation to meet the requirement of perturbation budget on $L_\infty$ norm. However, we find
Zheng Yuan +4 more
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Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives
Health Care Science, EarlyView.Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley +1 more source
A Survey of Adversarial Attacks on SAR Target Recognition: From Digital Domain to Physical Domain
Leida xuebaoDeep Neural Network (DNN)-based Synthetic Aperture Radar (SAR) image target recognition has become a prominent area of interest in SAR applications. However, deep neural network models are vulnerable to adversarial example attacks.
Hang RUAN +6 more
doaj +1 more source
Comparison and Evaluation of the attacks and defenses against Adversarial attacks
, 2021 Aleksandar Janković
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Transferable Adversarial Attacks Against ASR
IEEE Signal Processing LettersGiven the extensive research and real-world applications of automatic speech recognition (ASR), ensuring the robustness of ASR models against minor input perturbations becomes a crucial consideration for maintaining their effectiveness in real-time scenarios.
Xiaoxue Gao +4 more
openaire +2 more sources
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
, 2020 Despite the remarkable performance and generalization levels of deep learning models in a wide range of artificial intelligence tasks, it has been demonstrated that these models can be easily fooled by the addition of imperceptible yet malicious perturbations to natural inputs.
Vadillo, Jon +2 more
openaire +3 more sources
Interdisciplinary Medicine, EarlyView.Organoids and organ‐on‐a‐chips are advancing reproductive system research. In the female reproductive system, applications include cancer organoid models, placental chips, and hormone simulation models. For the male reproductive system, research focuses on drug resistance mechanisms, co‐culture platforms, and infertility studies. These refined in vitro
Hongqi Zhang +6 more
wiley +1 more source
Defeating Adversarial Attacks Againt Adversarial attacks in Network Security
, 2022 Ehsan Nowroozi +5 more
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Major Cybersecurity Breaches: Shaping Corporate Cybersecurity Policies and Closing the Gaps
Journal of Corporate Accounting &Finance, EarlyView.ABSTRACT As digitalization accelerates, cybercrime has intensified in both scale and impact over the past two decades. This study aims to critically examine major cybersecurity events, assess them through the lens of routine activity theory, examine insight from three other established criminological and organizational theories, and address central ...
Laura K. Rickett, Deborah Smith
wiley +1 more source
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods [PDF]
, 2019 Arif Siddiqi
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