Search Results for author:
Found 9 papers, 8 papers with code
IEEE BigData 2023 Keystroke Verification Challenge (KVC)
Several neural architectures were proposed by the participants, leading to global Equal Error Rates (EERs) as low as 3. 33% and 3. 61% achieved by the best team respectively in the desktop and mobile scenario, outperforming the current state of the art biometric verification performance for KD.
An Empirical Study on Usage and Perceptions of LLMs in a Software Engineering Project
Large Language Models (LLMs) represent a leap in artificial intelligence, excelling in tasks using human language(s).
Undercover Deepfakes: Detecting Fake Segments in Videos
This paradigm has been under-explored by the current deepfake detection methods in the academic literature.
IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C)
This paper describes the experimental framework and results of the IJCB 2022 Mobile Behavioral Biometrics Competition (MobileB2C).
Self-Supervised Vision Transformers for Malware Detection
Malware detection plays a crucial role in cyber-security with the increase in malware growth and advancements in cyber-attacks.
Ranked #1 on
Malware Detection
on MalNet
(F1 score metric)
DALLE-URBAN: Capturing the urban design expertise of large text to image transformers
However, a detailed analysis capturing the capabilities of such models, specifically with a focus on the built environment, has not been performed to date.
Does a Face Mask Protect my Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images
Contactless and efficient systems are implemented rapidly to advocate preventive methods in the fight against the COVID-19 pandemic.
MFR 2021: Masked Face Recognition Competition
These teams successfully submitted 18 valid solutions.
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning
The specialized weights trained by our method outperform standard face recognition features for masked to unmasked face matching.
