8 papers
Adversarial Limits of Quantum Certification: When Eve Defeats Detection
Davut Emre Tasar
Security of quantum key distribution (QKD) relies on certifying that observed correlations arise from genuine quantum entanglement rather than eavesdropper manipulation. Theoretica…
TARA Test-by-Adaptive-Ranks for Quantum Anomaly Detection with Conformal Prediction Guarantees
Davut Emre Tasar, Ceren Ocal Tasar
Quantum key distribution (QKD) security fundamentally relies on the ability to distinguish genuine quantum correlations from classical eavesdropper simulations, yet existing certif…
Machine Learning in the Quantum Age: Quantum vs. Classical Support Vector Machines
Davut Emre Tasar, Kutan Koruyan, Ceren Ocal Tasar
This work endeavors to juxtapose the efficacy of machine learning algorithms within classical and quantum computational paradigms. Particularly, by emphasizing on Support Vector Ma…
Performance Comparison of Pre-trained Models for Speech-to-Text in Turkish: Whisper-Small and Wav2Vec2-XLS-R-300M
Oyku Berfin Mercan, Sercan Cepni, Davut Emre Tasar +1
In this study, the performances of the Whisper-Small and Wav2Vec2-XLS-R-300M models which are two pre-trained multilingual models for speech to text were examined for the Turkish l…
Bridging History with AI A Comparative Evaluation of GPT 3.5, GPT4, and GoogleBARD in Predictive Accuracy and Fact Checking
Davut Emre Tasar, Ceren Ocal Tasar
The rapid proliferation of information in the digital era underscores the importance of accurate historical representation and interpretation. While artificial intelligence has sho…
Training Natural Language Processing Models on Encrypted Text for Enhanced Privacy
Davut Emre Tasar, Ceren Ocal Tasar
With the increasing use of cloud-based services for training and deploying machine learning models, data privacy has become a major concern. This is particularly important for natu…
Ad Text Classification with Transformer-Based Natural Language Processing Methods
Umut Özdil, Büşra Arslan, D. Emre Taşar +2
In this study, a natural language processing-based (NLP-based) method is proposed for the sector-wise automatic classification of ad texts created on online advertising platforms.…
Auto-tagging of Short Conversational Sentences using Transformer Methods
D. Emre Taşar, Şükrü Ozan, Umut Özdil +5
The problem of categorizing short speech sentences according to their semantic features with high accuracy is a subject studied in natural language processing. In this study, a dat…