May 17, 2024
As we become more reliant on AI, concerns about AI security increase, especially in today’s data-driven world, where AI models are substantially employed to make predictions that impact everything from individual credit scores to medical diagnoses. In response, two significant countermeasures have been gaining popularity: homomorphic encryption and differential privacy. Homomorphic Encryption: Robust but Complex […]
May 16, 2024
1. Introduction Legal data inherently contains highly sensitive information, necessitating robust security and privacy protection measures. To meet these requirements, recent advancements in technology and research have introduced synthetic data as a promising solution. However, since synthetic data is generated by learning from original data, it may still reflect sensitive information. Therefore, applying differential privacy […]
May 15, 2024
In the past two years, if you were to name the most talked-about generative model, many would point to ChatGPT. Initially, its outstanding performance captivated both users and researchers. However, the lack of detailed disclosures limited in-depth analysis. The Rise of Open Source Large Language Models With the advent of open-source LLMs like LLaMA2, BLOOM, […]
May 12, 2024
AI systems can exhibit significant ethical issues due to gender and racial biases, which stem from the data collection and processing phases and can lead to serious decision-making errors. Gender Bias in AI For example, if an AI-based recruitment algorithm is trained on a database dominated by male resumes, it is likely to unfavorably assess […]
May 10, 2024
Data privacy is one of the most important factor in data analysis. If you fail to keep it, you will not only lose the trust of your customers, but you can also face serious legal consequences. Data leakage can lead to significant financial penalties under laws such as the General Data Protection Regulation (GDPR) or […]
May 8, 2024
Synthetic data In the era of AI, data stands as a monumental asset. With advancements in deep learning, AI performance heavily relies on the quantity and quality of data. However, harnessing data poses significant challenges in terms of its collection and processing, intertwined with the crucial task of privacy protection. To address these challenges and […]
May 8, 2024
Media Synthetic Data The entertainment industry, considered pivotal in media, is undergoing rapid transformation through data-driven decision-making. At the heart of this evolution lies ‘Synthetic Data.’ Media companies are now leveraging synthetic data as an alternative to real user data, enhancing privacy while developing more sophisticated content recommendation systems and marketing strategies. Definition and Importance […]
May 2, 2024
Introduction to Deepfake Deepfake Technology and Its Challenges Deepfake utilizes artificial intelligence (AI) technologies to realistically manipulate faces, voices, and actions of people. Recognizing the potential social and ethical issues, many researchers are focusing on developing technologies to detect and prevent deepfakes. Detection Methods Physical and Geometric Inconsistencies Deepfake detection technologies can be broadly divided […]