Randomized Purifier Based on Low Adversarial Transferability for Adversarial Defense by Sangjin Park, Yoojin Jung, Byung Cheol Song

“…However, since they require a great number of diffusion steps or sampling steps in purifying attacked images, their computational cost is burdensome. …”
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Study on the spatiotemporal evolution and prediction of internal porosity in concrete specimens under sulfate attack based on machine learning models by Chun Gong, Dunwen Liu, Kunpeng Cao, Yinghua Jian

“…The results demonstrated that CT scan analysis and image processing techniques can effectively visualize internal porosity and its spatiotemporal evolution. …”
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Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

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An Efficient Privacy-preserving Deep Learning Scheme for Medical Image Analysis by J. Andrew Onesimu, J Karthikeyan

“…In this paper, a secure deep learning scheme called Metamorphosed Learning (MpLe) is proposed to protect the privacy of images in medical image analysis. An augmented convolutional layer and image morphing are two main components of MpLe scheme. …”
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Multimodal framework for phishing attack detection and mitigation through behavior analysis using EM-BERT and SPCA-BASED EAI-SC-LSTM by Mahmoud Murhej, G. Nallasivan

“…Simultaneously, the CSS files and images are obtained from the URL dataset. Then, by utilizing Spherical Principal Component Analysis (SPCA), the features are extracted. …”
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A big data analysis algorithm for massive sensor medical images by Sarah A. Alzakari, Nuha Alruwais, Shaymaa Sorour, Shouki A. Ebad, Asma Abbas Hassan Elnour, Ahmed Sayed

“…The smart sensor-based big data analysis recommendation system has significant privacy and security concerns when using sensor medical images for suggestions and monitoring. …”
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Transient lesion in the splenium of the corpus callosum and a sudden antiepileptic drugs withdrawal: A case with focal epilepsy in presurgical evaluation by Ristić Aleksandar, Lavrnić Slobodan, Zović Ljubica, Vojvodić Nikola, Janković Slavko, Škrijelj Fadilj, Ercegovac Marko, Sokić Dragoslav

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64-multyslice computed tomography: detection of coronary artery disease in patients with ischemic heart disease by A. S. Nikonenko, A. A. Nikonenko, B. S. Gavrilenko, A. I. Lozovoi

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Implementation of MS Circle Map in Digital Image Encryption by Ichsani Mursidah, Suryadi MT, Sarifuddin Madenda, Suryadi Harmanto

“…The proposed method features a large key space, high key sensitivity, and strong resistance to brute force, statistical, and differential attacks. Performance evaluation through key space analysis, initial value sensitivity, entropy, correlation coefficient, NPCR, and UACI shows that the encrypted image using MS Circle Map has strong security properties. …”
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Enhanced Laplace integral transform based image encryption technique and its analysis by Shamsa Kanwal, Saba Inam, Amr Yousef, Zaffar Ahmed Shaikh, Fariha Nawaz

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A dual-image encryption scheme for sensitive region of traffic image using public key cryptosystem and novel chaotic map by Tingyu An, Tao Gao, Ting Chen, Donghua Jiang

“…Abstract Intelligent transport systems (ITS) extensively employ traffic images for traffic flow analysis, accident detection and other tasks. …”
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On the Security Analysis of a Hopfield Chaotic Neural Network-Based Image Encryption Algorithm by Yingchun Hu, Simin Yu, Zeqing Zhang

“…In this paper, the security analysis of a color image encryption algorithm based on Hopfield chaotic neural network is given. …”
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An image encryption algorithm based on multi-layered chaotic maps and its security analysis by Erdal Güvenoğlu

“…The efficacy of the method is underlined by its dependence on both original images and secret keys, rendering it resilient against brute force and differential attacks. …”
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A Backdoor Attack Against LSTM-Based Text Classification Systems by Jiazhu Dai, Chuanshuai Chen, Yufeng Li

“…Existed research mainly focuses on backdoor attacks in image classification based on CNN, little attention has been paid to the backdoor attacks in RNN. …”
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Investigating the Transferability of TOG Adversarial Attacks in YOLO Models in the Maritime Domain by Phornphawit Manasut, Md Saleh Ibtasham, Zeynep Yaradanakul, Sepinoud Azimi, Sebastien Lafond, Bogdan Iancu

“…Although their capabilities are employed across various industries, these detectors are inherently susceptible to adversarial attacks. Despite extensive studies on their effects on image classification, adversarial attacks remain largely unexplored in object detection. …”
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Accuracy is not enough: a heterogeneous ensemble model versus FGSM attack by Reham A. Elsheikh, M. A. Mohamed, Ahmed Mohamed Abou-Taleb, Mohamed Maher Ata

“…Further, a comprehensive analysis of the drop in performance of every model affected by the FGSM attack is carried out over a range of epsilon values (the perturbation parameter). …”
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ANALYSIS OF NEW CHAOTIC MAP AND PERFORMANCE EVALUATION IN ITS APPLICATION TO DIGITAL COLOR IMAGE ENCRYPTION by Ita Mar'atu Solihat, Suryadi MT, Yudi Satria

“…The results of the encryption and decryption processes were evaluated by several tests such as key sensitivity analysis, histogram analysis, correlation analysis, and image quality analysis. …”
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Invisible CMOS Camera Dazzling for Conducting Adversarial Attacks on Deep Neural Networks by Zvi Stein, Adir Hazan, Adrian Stern

“…We provide a detailed analysis of the photopic conditions required to keep the attacking light source invisible to human observers while effectively disrupting the image, thereby deceiving the DNN. …”
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Prior Anticoagulation and Risk of Hemorrhagic Transformation in Acute Stroke: A Post Hoc Analysis of the PRODAST Study by Gerrit M. Grosse, Anika Hüsing, Andreas Stang, Nils Kuklik, Marcus Brinkmann, Martin Grond, Jens D. Rollnik, Lars Marquardt, Andrea Kraft, Eckhard Schlemm, Carsten Eggers, Christoph C. Eschenfelder, Christian Weimar, Hans‐Christoph Diener

“…Still, a considerable number of patients have an acute ischemic stroke or transient ischemic attack despite anticoagulation. In this study, we investigated the association of prior antithrombotic regimens with stroke severity, volume, and hemorrhagic transformation. …”
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Anterior Lens Curvature Matters in the Course of Primary Angle Closure: An Analysis Based on Ultrasound Biomicroscopic Imaging by Tingting Liu, Mengwei Li, Xiaoxiao Chen, Zhenying Jiang, Xiangmei Li, Xinghuai Sun, Jiajian Wang, Yuhong Chen

“…All patients underwent thorough ophthalmic exams including applanation tonometry, gonioscopy, low-coherence interferometry, and ultrasound biomicroscopic imaging. Based on the panoramic anterior segment images from ultrasound biomicroscopic imaging measurements, the radius of anterior lens curvature (ALR) was calculated using the least-squares curve fitting technique. …”
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