Results 21 to 30 of about 3,500,013 (329)

Deepfake Detection Algorithm Based on Dual-Branch Data Augmentation and Modified Attention Mechanism

Applied Sciences, 2023
Mainstream deepfake detection algorithms generally fail to fully extract forgery traces and have low accuracy when detecting forged images with natural corruptions or human damage.
Da Wan, Manchun Cai, Shufan Peng, Wenkai Qin, Lanting Li   +4 more
doaj   +1 more source

Joint Modal Alignment and Feature Enhancement for Visible-Infrared Person Re-Identification

Sensors, 2023
Visible-infrared person re-identification aims to solve the matching problem between cross-camera and cross-modal person images. Existing methods strive to perform better cross-modal alignment, but often neglect the critical importance of feature ...
Ronghui Lin, Rong Wang, Wenjing Zhang, Ao Wu, Yihan Bi   +4 more
doaj   +1 more source

N-Trans: Parallel Detection Algorithm for DGA Domain Names

Future Internet, 2022
Domain name generation algorithms are widely used in malware, such as botnet binaries, to generate large sequences of domain names of which some are registered by cybercriminals.
Cheng Yang, Tianliang Lu, Shangyi Yan, Jianling Zhang, Xingzhan Yu   +4 more
doaj   +1 more source

Mathematical approximator based on basic spline approximation [PDF]

E3S Web of Conferences
The article considers the problem of constructing a mathematical piecewise linear approximator based on approximation by basis splines. An algorithm has been developed designed to implement a class of special functions and create parallel ...
Turdimatov Mamirjon, Mukhtarov Farrukh, Ibrokhimov Nodirbekh, Umarov Shukhratjon, Mirzayev Jamshid, Rakhmatov Rasuljon   +5 more
doaj   +1 more source

Voice Deepfake Detection Using the Self-Supervised Pre-Training Model HuBERT

Applied Sciences, 2023
In recent years, voice deepfake technology has developed rapidly, but current detection methods have the problems of insufficient detection generalization and insufficient feature extraction for unknown attacks.
Lanting Li, Tianliang Lu, Xingbang Ma, Mengjiao Yuan, Da Wan   +4 more
doaj   +1 more source

A Data Enhancement Algorithm for DDoS Attacks Using IoT

Sensors, 2023
With the rapid development of the Internet of Things (IoT), the frequency of attackers using botnets to control IoT devices in order to perform distributed denial-of-service attacks (DDoS) and other cyber attacks on the internet has significantly ...
Haibin Lv, Yanhui Du, Xing Zhou, Wenkai Ni, Xingbang Ma   +4 more
doaj   +1 more source

Published incidents and their proportions of human error [PDF]

, 2019
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Purpose - The information security field experiences a continuous stream of information security ...
Evans, M., He, Ying, Janick, Helge, Yevseyeva, Iryna   +3 more
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Cryptanalysis on Two Kinds of Number Theoretic Pseudo-Random Generators Using Coppersmith Method

IET Information Security
Pseudo-random number generator (PRNG) is a type of algorithm that generates a sequence of random numbers using a mathematical formula, which is widely used in computer science, such as simulation, modeling applications, data encryption, et cetera.
Ran Zhang, Jingguo Bi, Lixiang Li, Haipeng Peng   +3 more
doaj   +1 more source

Efficacy and Tolerability of Topotecan/Cyclophosphamide/Dinutuximab in Relapsed and Refractory High‐Risk Neuroblastoma: A Multi‐Institutional Retrospective Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Chemoimmunotherapy with irinotecan, temozolomide, and dinutuximab (I/T/DIN) has emerged as first‐line therapy for relapsed/refractory (r/r) high‐risk neuroblastoma (HRNB) in North America. Topotecan and cyclophosphamide (T/C) are often used in combination with dinutuximab in the setting of lack of response, progression, or incomplete ...
Benjamin J. Lerman, Madeleine King, Rajen Mody, Sara‐Jane Onyeama, Araz Marachelian, Thomas Cash, Sara M. Federico, Meaghan Granger, Ami V. Desai, Suzanne Shusterman, Jennifer H. Foster, Elizabeth Sokol, Chelsee Greer, Keri Streby, Holly J. Meany, Kieuhoa T. Vo, Margaret E. Macy, Rochelle Bagatell   +17 more
wiley   +1 more source