Analysis of the synthetic periocular iris images for robust Presentation Attacks Detection algorithms by Jose Maureira, Juan E. Tapia, Claudia Arellano, Christoph Busch

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Face Spoof Attack Recognition Using Discriminative Image Patches by Zahid Akhtar, Gian Luca Foresti

“…Experimental analysis on two publicly available databases (Idiap REPLAY-ATTACK and CASIA-FASD) shows promising results compared to existing works.…”
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Improved Method of Detection Falsification Results the Digital Image in Conditions of Attacks by Kobozeva A.A., Grigorenko S.N.

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Presentation Attack Detection using iris periocular visual spectrum images by Andrés Valenzuela, Juan E. Tapia, Violeta Chang, Christoph Busch

“…The analysis was carried out by evaluating the performance of five Convolutional Neural Networks (CNN) using both facial and periocular iris images for PAD with two different attack instruments. …”
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Resilient Multimedia Embedding in DICOM Images: A Robustness Evaluation Under Multiple Attacks by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal, B. Ashwini

“…To assess the robustness of the embedded data, a series of attacks are applied to the DICOM images, including zero attack, salt and pepper attack, Gaussian attack, and speckle noise attack. …”
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Rapid analysis of shipworm attack - a novel digital tool for assessing shipworm damage (RANDA) by Anne Marie Høier Eriksen, Malte Skov Jepsen, Carsten Gundlach, David John Gregory, Arne Redsted Rasmussen, Henning Matthiesen

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Verification of color characteristics of document images captured in uncontrolled conditions by I.A. Kunina, O.A. Padas, O.A. Kolomyttseva

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Research on adversarial attacks and defense performance of image classification models for automated driving systems by TANG Jun, HUANG Wenjing, LI Shuang, WU Zili

“…However, output and judgment errors generated by these models due to the presence of adversarial examples, impose a great impact on the security and safety associated with their applications in automated driving systems. A sensitivity analysis-based noise superposition attack strategy was employed to perform white-box adversarial attacks against ResNet, a typical image classification model. …”
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Improving Location-Based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning by Kai Zhang, Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang, Henian Li, Lang Lin, Norman Chang

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Cardiac Risk Assessment Through Retinal Images by Reddy L. Manojav, Deekshitha M., Sree G. Meghana, Padmini K.

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Investigating imperceptibility of adversarial attacks on tabular data: An empirical analysis by Zhipeng He, Chun Ouyang, Laith Alzubaidi, Alistair Barros, Catarina Moreira

“…While these attacks have been extensively studied in unstructured data like images, applying them to structured data, such as tabular data, presents new challenges. …”
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Encrypted image retrieval in multi-key settings based on edge computing by Yingying LI, Jianfeng MA, Yinbin MIAO

“…Aiming at the fact that the existing encrypted image retrieval schemes do not consider different keys to encrypt images,a multi-key encrypted image retrieval system based on edge computing (including basic scheme and enhanced scheme) based on local sensitive hashing,secure nearest neighbor and proxy re-encryption technologies was proposed.The retrieval efficiency and accuracy were improved and the extra computational cost of query users was reduced.Security analysis shows that the basic scheme can only resist the known ciphertext attack,while the enhanced scheme can resist the known background attack.The experimental performance test based on the real-world dataset shows that the proposed schemes are feasible in practical application scenarios.…”
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Encrypted image retrieval in multi-key settings based on edge computing by Yingying LI, Jianfeng MA, Yinbin MIAO

“…Aiming at the fact that the existing encrypted image retrieval schemes do not consider different keys to encrypt images,a multi-key encrypted image retrieval system based on edge computing (including basic scheme and enhanced scheme) based on local sensitive hashing,secure nearest neighbor and proxy re-encryption technologies was proposed.The retrieval efficiency and accuracy were improved and the extra computational cost of query users was reduced.Security analysis shows that the basic scheme can only resist the known ciphertext attack,while the enhanced scheme can resist the known background attack.The experimental performance test based on the real-world dataset shows that the proposed schemes are feasible in practical application scenarios.…”
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Integrity verified lightweight ciphering for secure medical image sharing between embedded SoCs by Siva Janakiraman, Vinoth Raj R, R. Sivaraman, A. Sridevi, Har Narayan Upadhyay, Rengarajan Amirtharajan

“…The encrypted DICOM images achieve an average entropy value of 7.99752, a PSNR of 5.872 dB, NPCR of 99.66128%, and a UACI of 33.55964%, while the noise attack analysis further demonstrates its robustness. …”
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Impaired glymphatic function contributes to high-frequency attacks in patients with episodic migraine by Xin Cai, Wei Sun, Mengfei Cai, Dawei Li, Zhenzhen Chen, Hao Li, Bo Yuan, Yan Li, Zaiyi Liu, Yuhu Zhang

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Efficient Method for Robust Backdoor Detection and Removal in Feature Space Using Clean Data by Donik Vrsnak, Marko Subasic, Sven Loncaric

“…These attacks pose a significant security threat in critical applications, such as street sign or pedestrian recognition for autonomous vehicles, biometric authentication, image retrieval, semantic labeling, etc. …”
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Comprehensive Review and Analysis of Image Encryption Techniques by K. Mahalakshmi, Sivakumar Nagarajan

“…The rapid growth of digital media has increased the need to protect image data from unauthorized access, particularly in fields such as medical imaging, military communication, and online content distribution. …”
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DDoS Attack Detection in IoT: A Comparative Resource and Performance Analysis of Deep Learning and Machine Learning Models by Amer Abualhassan, Irfan Rashid, Farid Binbeshr, Muhammad Imam

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Behavioral Monitoring in Transient Ischemic Attack and Stroke Patients: Exploratory Micro- and Macrostructural Imaging Insights for Identifying Post-Stroke Depression with Accelero... by Stephanie J. Zawada, Ali Ganjizadeh, Bart M. Demaerschalk, Bradley J. Erickson

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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

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