Novel defense based on softmax activation transformation by Jinyin CHEN, Changan WU, Haibin ZHENG

“…Deep learning is widely used in various fields such as image processing, natural language processing, network mining and so on.However, it is vulnerable to malicious adversarial attacks and many defensive methods have been proposed accordingly.Most defense methods are attack-dependent and require defenders to generate massive adversarial examples in advance.The defense cost is high and it is difficult to resist black-box attacks.Some of these defenses even affect the recognition of normal examples.In addition, the current defense methods are mostly empirical, without certifiable theoretical support.Softmax activation transformation (SAT) was proposed in this paper, which was a light-weight and fast defense scheme against black-box attacks.SAT reactivates the output probability of the target model in the testing phase, and then it guarantees privacy of the probability information.As an attack-free defense, SAT not only avoids the burden of generating massive adversarial examples, but also realizes the advance defense of attacks.The activation of SAT is monotonic, so it will not affect the recognition of normal examples.During the activation process, a variable privacy protection transformation coefficient was designed to achieve dynamic defense.Above all, SAT is a certifiable defense that can derive the effectiveness and reliability of its defense based on softmax activation transformation.To evaluate the effectiveness of SAT, defense experiments against 9 attacks on MNIST, CIFAR10 and ImageNet datasets were conducted, and the average attack success rate was reduced from 87.06% to 5.94%.…”
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Hand Detection Using Cascade of Softmax Classifiers by Yan-Guo Zhao, Feng Zheng, Zhan Song

“…To tackle such problems, in this work, an efficient cascade detector that integrates multiple softmax-based binary (SftB) models and a softmax-based multiclass (SftM) model is investigated to perform multiclass posture detection in parallel. …”
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10 .GAP SPOR ŞENLİĞİNE KATILAN YILDIZ ve GENÇ TAEKWONDO SPORCULARININ BESLENME ALIŞKANLIKLARININ BELİRLENMESİ by Murat Tekin, Fatma Arslan

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Bandwidth prediction of power communication network based on DBN-Softmax by Jia LI, Li CONG, Hua JIANG, Yang HU, Meng XU

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Computerized Adaptive Testing Framework Based on Excitation Block and Gumbel-Softmax by Chengsong Liu, Yan Wei

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KAUNO KOLEGIJOS STUDENTŲ POŽIŪRIS Į NEĮGALIUS ASMENIS IR JŲ INTEGRAVIMĄ PER SPORTĄ by Andrius Brusokas, Jūratė Martinonytė

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Photoplethysmography Biometric Recognition Model Based on Sparse Softmax Vector and k-Nearest Neighbor by Junfeng Yang, Yuwen Huang, Fuxian Huang, Gongping Yang

“…Second, three-layer features are extracted, and the features of each layer are represented by a sparse softmax vector. In the first layer, the features are extracted by PPG data as a whole. …”
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Lesion classification and diabetic retinopathy grading by integrating softmax and pooling operators into vision transformer by Chong Liu, Weiguang Wang, Jian Lian, Wanzhen Jiao

“…Bearing the analysis above in mind, this study introduces an integrated self-attention mechanism with both softmax and linear modules to guarantee efficiency and expressiveness, simultaneously. …”
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From environmental disaster to Tourist-Free tourism context: Transformation of practices and discourses in Portmán (Region of Murcia, Spain) by Raúl Travé Molero, Daniel Carmona Zubiri, Antonio Miguel Nogués Pedregal

“… Since the 1970s Portmán, a small town on the coast of Murcia, has been surrounded by a growing tourism sector. …”
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Intelligent Image Recognition System for Marine Fouling Using Softmax Transfer Learning and Deep Convolutional Neural Networks by C. S. Chin, JianTing Si, A. S. Clare, Maode Ma

“…Transfer learning using Google’s Inception V3 model with Softmax at last layer was carried out on a fouling database of 10 categories and 1825 images. …”
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BEDEN EĞİTİMİVE SPOR YÜKSEKOKULLARINDA OKUYAN AKTİF SPOR YAPAN ÖĞRENCİLERİN BESLENME ALIŞKANLIKLARININ BELİRLENMESİ VE DEĞERLENDİRİLMESİ by İbrahim Bozkurt, Mustafa Nizamlıoğlu

Subjects: “…nutrition of the sportsman…”
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The concept of the notion “pupil’s success in the process of sports training” by Alexander D. Voronin

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Hydrogen Leakage Location Prediction in a Fuel Cell System of Skid-Mounted Hydrogen Refueling Stations by Leiqi Zhang, Qiliang Wu, Min Liu, Hao Chen, Dianji Wang, Xuefang Li, Qingxin Ba

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Researching COVID to enhance recovery (RECOVER) pediatric study protocol: Rationale, objectives and design. by Rachel S Gross, Tanayott Thaweethai, Erika B Rosenzweig, James Chan, Lori B Chibnik, Mine S Cicek, Amy J Elliott, Valerie J Flaherman, Andrea S Foulkes, Margot Gage Witvliet, Richard Gallagher, Maria Laura Gennaro, Terry L Jernigan, Elizabeth W Karlson, Stuart D Katz, Patricia A Kinser, Lawrence C Kleinman, Michelle F Lamendola-Essel, Joshua D Milner, Sindhu Mohandas, Praveen C Mudumbi, Jane W Newburger, Kyung E Rhee, Amy L Salisbury, Jessica N Snowden, Cheryl R Stein, Melissa S Stockwell, Kelan G Tantisira, Moriah E Thomason, Dongngan T Truong, David Warburton, John C Wood, Shifa Ahmed, Almary Akerlundh, Akram N Alshawabkeh, Brett R Anderson, Judy L Aschner, Andrew M Atz, Robin L Aupperle, Fiona C Baker, Venkataraman Balaraman, Dithi Banerjee, Deanna M Barch, Arielle Baskin-Sommers, Sultana Bhuiyan, Marie-Abele C Bind, Amanda L Bogie, Tamara Bradford, Natalie C Buchbinder, Elliott Bueler, Hülya Bükülmez, B J Casey, Linda Chang, Maryanne Chrisant, Duncan B Clark, Rebecca G Clifton, Katharine N Clouser, Lesley Cottrell, Kelly Cowan, Viren D'Sa, Mirella Dapretto, Soham Dasgupta, Walter Dehority, Audrey Dionne, Kirsten B Dummer, Matthew D Elias, Shari Esquenazi-Karonika, Danielle N Evans, E Vincent S Faustino, Alexander G Fiks, Daniel Forsha, John J Foxe, Naomi P Friedman, Greta Fry, Sunanda Gaur, Dylan G Gee, Kevin M Gray, Stephanie Handler, Ashraf S Harahsheh, Keren Hasbani, Andrew C Heath, Camden Hebson, Mary M Heitzeg, Christina M Hester, Sophia Hill, Laura Hobart-Porter, Travis K F Hong, Carol R Horowitz, Daniel S Hsia, Matthew Huentelman, Kathy D Hummel, Katherine Irby, Joanna Jacobus, Vanessa L Jacoby, Pei-Ni Jone, David C Kaelber, Tyler J Kasmarcak, Matthew J Kluko, Jessica S Kosut, Angela R Laird, Jeremy Landeo-Gutierrez, Sean M Lang, Christine L Larson, Peter Paul C Lim, Krista M Lisdahl, Brian W McCrindle, Russell J McCulloh, Kimberly McHugh, Alan L Mendelsohn, Torri D Metz, Julie Miller, Elizabeth C Mitchell, Lerraughn M Morgan, Eva M Müller-Oehring, Erica R Nahin, Michael C Neale, Manette Ness-Cochinwala, Sheila M Nolan, Carlos R Oliveira, Onyekachukwu Osakwe, Matthew E Oster, R Mark Payne, Michael A Portman, Hengameh Raissy, Isabelle G Randall, Suchitra Rao, Harrison T Reeder, Johana M Rosas, Mark W Russell, Arash A Sabati, Yamuna Sanil, Alice I Sato, Michael S Schechter, Rangaraj Selvarangan, S Kristen Sexson Tejtel, Divya Shakti, Kavita Sharma, Lindsay M Squeglia, Shubika Srivastava, Michelle D Stevenson, Jacqueline Szmuszkovicz, Maria M Talavera-Barber, Ronald J Teufel, Deepika Thacker, Felicia Trachtenberg, Mmekom M Udosen, Megan R Warner, Sara E Watson, Alan Werzberger, Jordan C Weyer, Marion J Wood, H Shonna Yin, William T Zempsky, Emily Zimmerman, Benard P Dreyer, RECOVER-Pediatric Consortium

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ANTHROPOLOGICAL BASIS OF HUMAN DIMENSION IN SPORT AS THE IMPLEMENTATION OF A PERSON'S GENERIC ESSENCE by V. Ye. Bilogur

“…The purpose of the article is to make the theoretical framework of a sportsman dimension concept as the realization of a person's generic essence that is a basis of a new scientific direction formation of sports anthropology and philosophy of sport. …”
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Unge og helseinformasjon<subtitle>ChatGPT vs. fagpersoner</subtitle> by Marita Skjuve, Asbjørn Følstad, Kim Kristoffer Dysthe, Astrid Brænden, Costas Boletsis, Petter Bae Brandtzæg

“…Disse tjenestene er brukervennlige og gir umiddelbare svar på spørsmål, men kan også generere feilaktig eller misvisende innhold. …”
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Feature Extraction and Classification of Music Content Based on Deep Learning by Qianqiu Shi, Young Chun Ko

“…The improved depth confidence network identifies and classifies Chinese traditional musical instruments through Softmax layer, and the accuracy is even as high as 99.2%; DBN is combined with Softmax neural network algorithm when only a few labeled samples in the training set are used for network fine-tuning, and the accuracy of the algorithm can still reach more than 90%, which can reduce the workload in the early stage. …”
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Evaluation of Status and Constant Anxiety Levels in Basketball Players According to League Ranking by Yalçın Kaya, Tuncay Sarıipek

“…s state and anxiety level, in the year 1964 and adapted into Turkish by Öner and Le Compte (1983) is used. 8 teams and 72 sportman of Beko Basketball League which has 16 teams, participated into this study. …”
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Nasilje v športu med mladimi športniki by Nika Strašek

“…Vsepogostejše pojavljanje nasilja v športu je posledica aktualnih družbeno - ekonomskih razmer in predvsem poveličevanje pomena zmage, ki postaja pomembnejša od izvornega pomena športa. Z razvojem športa in njegovih panog ter sprememb njegovega pomena v družbi so se razvile nove oblike nasilja v športu. …”
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Compound Fault Diagnosis for Gearbox Based Using of Euclidean Matrix Sample Entropy and One-Dimensional Convolutional Neural Network by Decai Zhang, Xueping Ren, Hanyue Zuo

“…In this paper, a one-dimensional convolutional neural network (1-D CNN) intelligent diagnosis method with improved SoftMax function is proposed. Local mean decomposition (LMD) decomposes the signals into different physical fictions (PF). …”
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