Large Language Models (LLMs) have now become the household terms and need no special introduction. They have emerged as pivotal tools. Their applications span various industries, transforming how we engage with technology. However, choosing the right LLM and customizing it for specific needs, especially within resource constraints, is a complex…
Tag: AIAttacks
LLM Fine-Tuning : Through the Lens of Security
2023 has seen a big boom in the sector of AI. Large Language Models (LLMs), the words in every household these days , have emerged as both a marvel and a mystery. With their human-like text generation capabilities, LLMs are reshaping our digital landscape. But, as with any powerful tool,…
The GPU.zip Side-Channel Attack: Implications for AI and the Threat of Pixel Stealing
The digital era recently witnessed a new side-channel attack named GPU.zip. While its primary target is graphical data compression in modern GPUs, the ripple effects of this vulnerability stretch far and wide, notably impacting the flourishing field of AI. This article understands the intricacies of the GPU.zip attack, its potential…
Deep Generative Models (DGMs): Understanding Their Power and Vulnerabilities
In the ever-evolving world of AI, Deep Generative Models (DGMs) stand out as a fascinating subset. Let’s understand their capabilities, unique characteristics, and potential vulnerabilities. Introduction to AI Models The Magic Behind DGMs: Latent Codes Imagine condensing an entire book into a short summary. This summary, which captures the essence…