Browsing NTNU Open by Author "Venkatesh, Sushma"

Now showing items 1-7 of 7

    • Context versus Content: A context analysis of AiBA chat data using USE and SBERT 

      Valen, Marius (Master thesis, 2023)
      I etterforskning av saker som omhandler seksuelle overgrep mot barn i form av tekst, bilder og videoer er det alltid utfordrende å sortere denne informasjonen ut fra en større mengde med data. Med den teknologiske fremgangen ...

    • Design and Development of Low-Cost Sensor to Capture Ventral and Dorsal Finger Vein for Biometric Authentication 

      Ramachandra, Raghavendra; Bylappa Raja, Kiran; Venkatesh, Sushma; Busch, Christoph (Peer reviewed; Journal article, 2019)
      Biometrics-based authentication of subjects is widely deployed in several real-life applications. Among various biometric characteristics, the finger-vein characteristic has demonstrated both reliable and highly accurate ...

    • Fine tuning BERT for detecting cyber grooming in online chats 

      Melleby Aarnseth, Simen (Master thesis, 2023)
      This thesis will look into how cyber grooming may be detected through the natural language processing model BERT, with an emphasis on the use of abbreviations and slang present in the chats. To investigate this, several BERT ...

    • Low Visual Distortion and Robust Morphing Attacks Based on Partial Face Image Manipulation 

      Qin, Le; Peng, Fei; Venkatesh, Sushma; Ramachandra, Raghavendra; Long, Min; Busch, Christoph (Journal article; Peer reviewed, 2021)

    • MIPGAN—Generating Strong and High Quality Morphing Attacks Using Identity Prior Driven GAN 

      Zhang, Haoyu; Venkatesh, Sushma; Ramachandra, Raghavendra; Raja, Kiran; Damer, Naser; Busch, Christoph (Journal article; Peer reviewed, 2021)
      Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing face images derived from multiple data subjects (e.g., accomplices and malicious actors). Morphed images can be verified against ...

    • Morphing Attack Detection-Database, Evaluation Platform, and Benchmarking 

      Raja, Kiran; Ferrara, Matteo; Franco, Annalisa; Spreeuwers, Luuk; Batskos, Ilias; Wit, Florens de; Gomez-Barrero, Marta; Scherhag, Ulrich; Fischer, Daniel; Venkatesh, Sushma; Singh, Jag Mohan; Li, Guoqiang; Bergeron, Loïc; Isadskiy, Sergey; Ramachandra, Raghavendra; Rathgeb, Christian; Frings, Dinusha; Seidel, Uwe; Knopjes, Fons; Veldhuis, Raymond N.J.; Maltoni, Davide; Busch, Christoph (Peer reviewed; Journal article, 2021)
      Morphing attacks have posed a severe threat to Face Recognition System (FRS). Despite the number of advancements reported in recent works, we note serious open issues such as independent benchmarking, generalizability ...

    • Towards generalized morphing attack detection by learning residuals 

      Raja, Kiran; Gupta, Gourav; Venkatesh, Sushma; Ramachandra, Raghavendra; Busch, Christoph (Peer reviewed; Journal article, 2022)
      Face recognition systems (FRS) are vulnerable to different kinds of attacks. Morphing attack combines multiple face images to obtain a single face image that can verify equally against all contributing subjects. Various ...