[HTML][HTML] Distinguishing Reality from AI: Approaches for Detecting Synthetic Content

D Ghiurău, DE Popescu - Computers, 2024 - mdpi.com
The advancement of artificial intelligence (AI) technologies, including generative pre-trained
transformers (GPTs) and generative models for text, image, audio, and video creation, has …

Temporal characteristics-based adversarial attacks on time series forecasting

Z Shen, Y Li - Expert Systems with Applications, 2025 - Elsevier
Currently, deep learning models have gained significant popularity in time series forecasting
within industrial systems due to their high accuracy. However, these models exhibit …

Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction

C Eichler, N Champeil, N Anciaux… - … Conference on Web …, 2024 - Springer
Abstract The rise of Large Language Models (LLMs) has triggered legal and ethical
concerns, especially regarding the unauthorized use of copyrighted materials in their …

Trading Devil RL: Backdoor attack via Stock market, Bayesian Optimization and Reinforcement Learning

O Mengara - arxiv preprint arxiv:2412.17908, 2024 - arxiv.org
With the rapid development of generative artificial intelligence, particularly large language
models, a number of sub-fields of deep learning have made significant progress and are …

[PDF][PDF] Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction

N Anciaux, A Bensamoun, HH Arcolezi… - arxiv preprint arxiv …, 2024 - researchgate.net
The rise of Large Language Models (LLMs) has triggered legal and ethical concerns,
especially regarding the unauthorized use of copyrighted materials in their training datasets …

Web Information Systems Engineering–WISE 2024

M Barhamgi, H Wang, X Wang - 2024 - Springer
Welcome to the proceedings of the 25th International Conference on Web Information
Systems Engineering (WISE 2024), held in Doha, Qatar, December 2–5, 2024. The series of …

Metaheuristics for White-box Path Attraction Attacks in Hidden Markov Models

B Koch - 2024 - search.proquest.com
Abstract Hidden Markov Models (HMMs) play a pivotal role in fields such as speech
recognition, spam detection, and autonomous vehicles, where reliable predictive …