Results 101 to 110 of about 96,849 (322)
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
, 2018 Machine learning systems based on deep neural networks, being able to produce state-of-the-art results on various perception tasks, have gained mainstream adoption in many applications.
Liu, Yannan +3 more
core +1 more source
Sparse Adversarial Attack in Multi-agent Reinforcement Learning [PDF]
, 2022 Yizheng Hu, Zhihua Zhang
openalex +1 more source
Mathematical Analysis of Adversarial Attacks
CoRR, 2018 In this paper, we analyze efficacy of the fast gradient sign method (FGSM) and the Carlini-Wagner's L2 (CW-L2) attack. We prove that, within a certain regime, the untargeted FGSM can fool any convolutional neural nets (CNNs) with ReLU activation; the targeted FGSM can mislead any CNNs with ReLU activation to classify any given image into any prescribed
Zehao Dou +2 more
openaire +2 more sources
Energy Science &Engineering, EarlyView.This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
, 2019 As an important tool in security, the intrusion detection system bears the responsibility of the defense to network attacks performed by malicious traffic.
Lin, Zilong, Shi, Yong, Xue, Zhi
core
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
Ctta: a novel chain-of-thought transfer adversarial attacks framework for large language models
CybersecurityRecent studies have indicated that large language models (LLMs) remain susceptible to adversarial attacks, despite enhanced robustness through the chain-of-thought (CoT) capability.
Xinxin Yue +3 more
doaj +1 more source
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
Remote SensingDeep neural networks have achieved remarkable performance in remote sensing image (RSI) classification tasks. However, they remain vulnerable to adversarial attack.
Xiyu Peng, Jingyi Zhou, Xiaofeng Wu
doaj +1 more source
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition [PDF]
, 2022 J. F. Sun +4 more
openalex +1 more source