16 citations · 29 across the 7 of their papers we have counts for
7 papers
Generative AI-Based Probabilistic Constellation Shaping With Diffusion Models
Mehdi Letafati, Samad Ali, Matti Latva-aho
Diffusion models are at the vanguard of generative AI research with renowned solutions such as ImageGen by Google Brain and DALL.E 3 by OpenAI. Nevertheless, the potential merits o…
Denoising Diffusion Probabilistic Models for Hardware-Impaired Communications
Mehdi Letafati, Samad Ali, Matti Latva-aho
Generative AI has received significant attention among a spectrum of diverse industrial and academic domains, thanks to the magnificent results achieved from deep generative models…
Probabilistic Constellation Shaping With Denoising Diffusion Probabilistic Models: A Novel Approach
Mehdi Letafati, Samad Ali, Matti Latva-aho
With the incredible results achieved from generative pre-trained transformers (GPT) and diffusion models, generative AI (GenAI) is envisioned to yield remarkable breakthroughs in v…
Global Differential Privacy for Distributed Metaverse Healthcare Systems
Mehdi Letafati, Safa Otoum
Metaverse-enabled digital healthcare systems are expected to exploit an unprecedented amount of personal health data, while ensuring that sensitive or private information of indivi…
Digital Healthcare in The Metaverse: Insights into Privacy and Security
Mehdi Letafati, Safa Otoum
In this article, we study the privacy and security aspects of the metaverse in the context of digital healthcare. Our studies include the security aspects of data collection and co…
Secure Deep-JSCC Against Multiple Eavesdroppers
Seyyed Amirhossein Ameli Kalkhoran, Mehdi Letafati, Ecenaz Erdemir +3
In this paper, a generalization of deep learning-aided joint source channel coding (Deep-JSCC) approach to secure communications is studied. We propose an end-to-end (E2E) learning…