1 citations · 3 across the 4 of their papers we have counts for
4 papers
Adversarial Text Generation with Dynamic Contextual Perturbation
Hetvi Waghela, Jaydip Sen, Sneha Rakshit +1
Adversarial attacks on Natural Language Processing (NLP) models expose vulnerabilities by introducing subtle perturbations to input text, often leading to misclassification while m…
Context-Enhanced Contrastive Search for Improved LLM Text Generation
Jaydip Sen, Rohit Pandey, Hetvi Waghela
Recently, Large Language Models (LLMs) have demonstrated remarkable advancements in Natural Language Processing (NLP). However, generating high-quality text that balances coherence…
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
Adversarial attacks against deep learning models represent a major threat to the security and reliability of natural language processing (NLP) systems. In this paper, we propose a…
Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
Rohit Pandey, Hetvi Waghela, Sneha Rakshit +5
This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods.…