International Conference on Computer and Knowledge Engineering

Home / 14th International Conference on Computer and Knowledge Engineering

Distinguishing Abstracts of Human-Written and ChatGPT-Generated Papers in the Field of Computer Science

Authors :

Mohsen Arzani¹ Hamed Vahdat-Nejad² Matin Hossein-Pour³

1- Perlab, Faculty of Electrical and Computer Engineering, University of Birjand 2- Perlab, Faculty of Electrical and Computer Engineering, University of Birjand 3- Perlab, Faculty of Electrical and Computer Engineering, University of Birjand

Keywords :

LLM-generated text،Deepfake text،Deep learning،ChatGPT

Abstract :

In the era of artificial intelligence, advanced technologies such as text deep fakes have emerged, utilizing AI and deep learning algorithms to generate text contents that convincingly mimic reality. Text-based deep fakes, commonly found in emails, articles, news, and social media posts, pose a significant threat to public trust. Our research proposes a method to distinguish between fake and genuine scientific abstracts in the field of computer science using a specialized dataset and deep learning models. The proposed detection model can differentiate between real and fake abstracts with 95% accuracy. Additionally, we employed metrics such as precision, recall, accuracy, and F1 score to measure the performance of our system in detail.

List of archived papers

A scalable blockchain-based educational network for data storage and assessment

Maryam Fattahi Vanani - Hamidreza Shayegh Borujeni - Ali Nourollah

Deep Learning Feature Extraction for COVID-19 Detection Algorithm using Computerized Tomography Scan

Maisarah Mohd Sufian - Ervin Gubin Moung - Chong Joon Hou - Ali Farzamnia

Stock market prediction using multi-objective optimization

Mahshid Zolfaghari - Hamid Fadishei - Mohsen Tajgardan - Reza Khoshkangini

Extreme Gradient Boosting (XGBoost) Regressor and Shapley Additive Explanation for Crop Yield Prediction in Agriculture

Dennis A/L Mariadass - Ervin Gubin Moung - Maisarah Mohd Sufian - Ali Farzamnia

Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32

Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi

An Efficient Approach for Breast Abnormality Detection through High-Level Features of Thermography Images

Farhad Abedinzadeh Torghabeh - Yeganeh Modaresnia - Seyyed Abed Hosseini

Spatial-channel attention-based stochastic neighboring embedding pooling and long short term memory for lung nodules classification

AHMED SAIHOOD - HOSSEIN KARSHENAS - AHMADREZA NAGHSH NILCHI

Towards Study of Research Topics Evolution in Artificial Intelligence based on Topic Embedding

Seyyed Reza Taher Harikandeh - Sadegh Aliakbary - Soroush Taheri

DPRNN-FORMER: AN EFFICIENT WAY TO DEAL WITH BLIND SOURCE SEPARATION

Ramin Ghorbani - Sajad Haghzad Klidbary

Vision-Based Obstacle Avoidance in Drone Navigation using Deep Reinforcement Learning

Pooyan Rahmanzadeh Gervi - Ahad Harati - Sayed Kamaledin Ghiasi-Shirazi

more

Samin Hamayesh - Version 42.2.1