PK-Judge: Enhancing IP Protection of Neural Network Models Using an Asymmetric Approach by Wafaa Kanakri, Brian King

“…Unlike symmetric approaches, PK-Judge employs a public key infrastructure (PKI) to decouple ownership validation from the extraction process, significantly increasing its resilience against adversarial attacks. Additionally, it incorporates a robust challenge-response mechanism to mitigate replay attacks and leverages error correction codes (ECC) to achieve an Effective Bit Error Rate (EBER) of zero, ensuring watermark integrity even under conditions such as fine-tuning, pruning, and overwriting. …”
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An Analytical Model for Dynamic Spectrum Sensing in Cognitive Radio Networks Using Blockchain Management by Nikhil Kumar Marriwala, Sunita Panda, Chandran Kamalanathan, Narayanan Sadhasivam, Vootla Subba Ramaiah

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Adversarial Sample Generation Method Based on Frequency Domain Transformation and Channel Awareness by Yalin Gao, Dongwei Xu, Huiyan Zhu, Qi Xuan

“…The experimental results show that SDRNet is superior to traditional algorithms (such as the least square method, minimum mean square error estimation, etc.) in both mean square error and bit error rate. …”
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Tactical and statistical analysis of spiking efficiency by type, zone and set phase in women's volleyball by Kiattisak Sitti, K. Ravivuth Rangubhet

“…Tip shots had the lowest efficiency (EI = 0.22) but the highest continuation rate (61%). Side zone attacks exhibited higher kill rates (25.2%) and efficiency (EI = 0.227) than central zone attacks (14.1% kill rate, EI = 0.106). …”
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Benchmarking Spiking Neural Network Learning Methods With Varying Locality by Jiaqi Lin, Sen Lu, Malyaban Bal, Abhronil Sengupta

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CoPaD-Mark: A Coded Parallelizable Deep Learning-Based Scheme for Robust Image Watermarking by Andy M. Ramos, Cecilio Pimentel, Daniel P. B. Chaves

“…The information bits embedded in the image are derived from the parity bits of an error-correcting code. This code’s message is constructed by combining a chaotic binary sequence with the original watermark bits. …”
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Demand-Driven Resilient Control for Generation Unit of Local Power Plant Under Unreliable Communication by Guizhou Cao, Dawei Xia, Bokang Liu, Kai Meng, Zhenlong Wu, Yuan-Cheng Sun

“…The closed-loop performance is analyzed for the GU system in the input-to-state stable framework with or without attack. According to the DoS attack model, which is described by the assumptions of frequency and duration, the conservativeness of the tolerable DoS attack index is reduced by using the thought of robustness to the maximum disturbance-induced error. …”
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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

“…This paper examines a presentation attack when a color photo of a gray copy of a document is presented instead of the original color document during remote user identification. …”
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Machine Learning Approach to Aerodynamic Analysis of NACA0005 Airfoil: ANN and CFD Integration by Taiba Kouser, Dilek Funda Kurtulus, Srikanth Goli, Abdulrahman Aliyu, Imil Hamda Imran, Luai M. Alhems, Azhar M. Memon

“…Data generated by computational fluid dynamics (CFD) is used to train the model for Reynolds numbers <inline-formula> <tex-math notation="LaTeX">$Re \in [{1000-5000}]$ </tex-math></inline-formula> and angles of attack ranging from 9&#x00B0; to 11&#x00B0;. A robust Scaled Conjugate Gradient (SCG) algorithm is employed for efficient training of data. …”
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Optimizing Solid Oxide Fuel Cell Performance Using Advanced Meta-Heuristic Algorithms by Siva Ram Rajeyyagari, Srinivas Nowduri

“…The models are evaluated against a comprehensive set of performance metrics: Root Mean Square Error (RMSE), Mean Squared Error (MSE), coefficient of determination (R²), correlation coefficient (R), Mean Absolute Error (MAE), Relative Absolute Error (RAE), Squared Error (SE), Mean Absolute Percentage Error (MAPE), and Normalized Mean Squared Error (NMSE). …”
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Information Theoretic Analysis of PUF-Based Tamper Protection by Georg Maringer, Matthias Hiller

“…We apply zero leakage output quantization to existing quantization schemes and minimize the reconstruction error probability under zero leakage. We apply wiretap coding within a helper data algorithm to enable a reliable key reconstruction for the legitimate user while guaranteeing a selectable reconstruction complexity for an attacker, analogously to the security level for a cryptographic algorithm for the attacker models considered in this work. …”
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Acute hepatic porphyrias for the neurologist: current concepts and perspectives by Paulo Victor Sgobbi de Souza, Bruno de Mattos Lombardi Badia, Igor Braga Farias, Eduardo Augusto Gonçalves, Wladimir Bocca Vieira de Rezende Pinto, Acary Souza Bulle Oliveira

“…ABSTRACT Background: Acute hepatic porphyrias represent an expanding group of complex inherited metabolic disorders due to inborn errors of metabolism involving heme biosynthesis. …”
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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

“…To achieve zero-bit error restoration, we utilize the differential evolution algorithm to optimize adversarial perturbations while minimizing distortion. …”
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Enhancing Secure Medical Data Communication Through Integration of LSB and DCT for Robust Analysis in Image Steganography by Ramyashree, P. S. Venugopala, S. Raghavendra, Vijay S. Kubihal

“…The overall analysis of proposed work significantly improves result in terms of the security and robustness under various attacks.…”
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A compact public key encryption with equality test for lattice in cloud computing by Junfei He, Qing Ye, Zhichao Yang, Shixiong Wang, Jiasheng Wang

“…With those efforts, our scheme can withstand the chosen ciphertext attacks as long as the learning with errors (LWE) assumption holds. …”
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Anti-Jamming RIS Communications Using DQN-Based Algorithm by Pham Duy Thanh, Hoang Thi Huong Giang, Ic-Pyo Hong

“…As a result, the optimal resource allocation is achieved through trial-and-error interactions with environment by observing the predefined rewards and the network state transition. …”
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False data intrusion detection method for power grid based on deep machine learning by ZHU Wen, HU Yaping, NIE Yongquan, JIANG Wei, XIE Hu

“…False data injection attacks (FDIAs) are obtained by continuously adding error measurement vectors in PMU to judge whether the power grid has been attacked by false information and predict the location value of possible attacks. …”
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Estimation of Fractal Dimension and Detection of Fake Finger-Vein Images for Finger-Vein Recognition by Seung Gu Kim, Jin Seong Hong, Jung Soo Kim, Kang Ryoung Park

“…Furthermore, experiments conducted with the proposed spoof detector yielded average classification error rates of 0.4% and 0.12% on the two aforementioned open databases, respectively, outperforming existing SOTA methods for spoof detection.…”
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CFD-Modeling of the Airfoil of the Blades of a Wind Power Plant with a Vertical Axis in the Ansys Fluent System by G. N. Uzakov, V. A. Sednin, A. B. Safarov, R. A. Mamedov, I. A. Khatamov

“…In assessing the compatibility of the model and the experimental results of the DU-06-W-200 airfoil, the conformity criterion χ2, root mean square error (RMSE), coefficient of determination (R2), and average bias error (ABE) were used. …”
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Controllable Blind AC FDIA via Physics-Informed Extrapolative AVAE by Siliang Zhao, Wuman Luo, Qin Shu, Fangwei Xu

“…Current machine learning-based approaches struggle to effectively control state estimation errors and are confined to the data distribution of training sets. …”
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