7 citations · 10 across the 6 of their papers we have counts for
6 papers
X-Guard: Multilingual Guard Agent for Content Moderation
Bibek Upadhayay, Vahid Behzadan, Ph. D
Large Language Models (LLMs) have rapidly become integral to numerous applications in critical domains where reliability is paramount. Despite significant advances in safety framew…
Cognitive Overload Attack:Prompt Injection for Long Context
Bibek Upadhayay, Vahid Behzadan, Amin Karbasi
Large Language Models (LLMs) have demonstrated remarkable capabilities in performing tasks across various domains without needing explicit retraining. This capability, known as In-…
Sandwich attack: Multi-language Mixture Adaptive Attack on LLMs
Bibek Upadhayay, Vahid Behzadan
Large Language Models (LLMs) are increasingly being developed and applied, but their widespread use faces challenges. These include aligning LLMs' responses with human values to pr…
TaCo: Enhancing Cross-Lingual Transfer for Low-Resource Languages in LLMs through Translation-Assisted Chain-of-Thought Processes
Bibek Upadhayay, Vahid Behzadan
Creating multilingual LLMs poses a significant challenge. Pretraining or fine-tuning LLMs to adopt new languages is evidently very costly. Furthermore, there exist limitations conc…
Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events
Bibek Upadhayay, Vahid Behzadan
Machine learning models are known to be vulnerable to adversarial perturbations in the input domain, causing incorrect predictions. Inspired by this phenomenon, we explore the feas…
Sentimental LIAR: Extended Corpus and Deep Learning Models for Fake Claim Classification
Bibek Upadhayay, Vahid Behzadan
The rampant integration of social media in our every day lives and culture has given rise to fast and easier access to the flow of information than ever in human history. However,…