Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Rasnayaka, Sanka"'
Autor:
Chen, Ken, Seneviratne, Sachith, Wang, Wei, Hu, Dongting, Saha, Sanjay, Hasan, Md. Tarek, Rasnayaka, Sanka, Malepathirana, Tamasha, Gong, Mingming, Halgamuge, Saman
Face reenactment refers to the process of transferring the pose and facial expressions from a reference (driving) video onto a static facial (source) image while maintaining the original identity of the source image. Previous research in this domain
Externí odkaz:
http://arxiv.org/abs/2406.13272
Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s). Although the main focus of general-purpose LLMs is not code generation, they have shown promising results in the domain. However, th
Externí odkaz:
http://arxiv.org/abs/2401.16186
Autor:
Stragapede, Giuseppe, Vera-Rodriguez, Ruben, Tolosana, Ruben, Morales, Aythami, DeAndres-Tame, Ivan, Damer, Naser, Fierrez, Julian, Garcia, Javier-Ortega, Gonzalez, Nahuel, Shadrikov, Andrei, Gordin, Dmitrii, Schmitt, Leon, Wimmer, Daniel, Grossmann, Christoph, Krieger, Joerdis, Heinz, Florian, Krestel, Ron, Mayer, Christoffer, Haberl, Simon, Gschrey, Helena, Yamagishi, Yosuke, Saha, Sanjay, Rasnayaka, Sanka, Wickramanayake, Sandareka, Sim, Terence, Gutfeter, Weronika, Baran, Adam, Krzyszton, Mateusz, Jaskola, Przemyslaw
This paper describes the results of the IEEE BigData 2023 Keystroke Verification Challenge (KVC), that considers the biometric verification performance of Keystroke Dynamics (KD), captured as tweet-long sequences of variable transcript text from over
Externí odkaz:
http://arxiv.org/abs/2401.16559
Autor:
Senerath, Dilshan, Tharinda, Sanuja, Vishwajith, Maduka, Rasnayaka, Sanka, Wickramanayake, Sandareka, Meedeniya, Dulani
Continuous Authentication (CA) using behavioural biometrics is a type of biometric identification that recognizes individuals based on their unique behavioural characteristics, like their typing style. However, the existing systems that use keystroke
Externí odkaz:
http://arxiv.org/abs/2307.11000
Autor:
Saha, Sanjay, Perera, Rashindrie, Seneviratne, Sachith, Malepathirana, Tamasha, Rasnayaka, Sanka, Geethika, Deshani, Sim, Terence, Halgamuge, Saman
The recent renaissance in generative models, driven primarily by the advent of diffusion models and iterative improvement in GAN methods, has enabled many creative applications. However, each advancement is also accompanied by a rise in the potential
Externí odkaz:
http://arxiv.org/abs/2305.06564
Autor:
Stragapede, Giuseppe, Vera-Rodriguez, Ruben, Tolosana, Ruben, Morales, Aythami, Fierrez, Julian, Ortega-Garcia, Javier, Rasnayaka, Sanka, Seneviratne, Sachith, Dissanayake, Vipula, Liebers, Jonathan, Islam, Ashhadul, Belhaouari, Samir Brahim, Ahmad, Sumaiya, Jabin, Suraiya
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is benchmarking mobile user authentication systems based on behavioral biometric traits transparen
Externí odkaz:
http://arxiv.org/abs/2210.03072
Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks. Previously unseen malware which is not determined by security vendors are often used in these attacks and it is becoming i
Externí odkaz:
http://arxiv.org/abs/2208.07049
Autor:
Seneviratne, Sachith, Senanayake, Damith, Rasnayaka, Sanka, Vidanaarachchi, Rajith, Thompson, Jason
Automatically converting text descriptions into images using transformer architectures has recently received considerable attention. Such advances have implications for many applied design disciplines across fashion, art, architecture, urban planning
Externí odkaz:
http://arxiv.org/abs/2208.04139
Autor:
Seneviratne, Sachith, Kasthuriarachchi, Nuran, Rasnayaka, Sanka, Hettiachchi, Danula, Shariffdeen, Ridwan
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic. Despite the positive benefits of such systems, there is potential for exploitation by invading user privacy. In this
Externí odkaz:
http://arxiv.org/abs/2112.07879
Autor:
Boutros, Fadi, Damer, Naser, Kolf, Jan Niklas, Raja, Kiran, Kirchbuchner, Florian, Ramachandra, Raghavendra, Kuijper, Arjan, Fang, Pengcheng, Zhang, Chao, Wang, Fei, Montero, David, Aginako, Naiara, Sierra, Basilio, Nieto, Marcos, Erakin, Mustafa Ekrem, Demir, Ugur, Kemal, Hazim, Ekenel, Kataoka, Asaki, Ichikawa, Kohei, Kubo, Shizuma, Zhang, Jie, He, Mingjie, Han, Dan, Shan, Shiguang, Grm, Klemen, Štruc, Vitomir, Seneviratne, Sachith, Kasthuriarachchi, Nuran, Rasnayaka, Sanka, Neto, Pedro C., Sequeira, Ana F., Pinto, Joao Ribeiro, Saffari, Mohsen, Cardoso, Jaime S.
This paper presents a summary of the Masked Face Recognition Competitions (MFR) held within the 2021 International Joint Conference on Biometrics (IJCB 2021). The competition attracted a total of 10 participating teams with valid submissions. The aff
Externí odkaz:
http://arxiv.org/abs/2106.15288