26 citations · 48 across the 15 of their papers we have counts for
10 papers · 1 filter
Adversarial Robustness through Dynamic Ensemble Learning
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
Adversarial attacks pose a significant threat to the reliability of pre-trained language models (PLMs) such as GPT, BERT, RoBERTa, and T5. This paper presents Adversarial Robustnes…
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
Adversarial attacks, particularly the Fast Gradient Sign Method (FGSM) and Projected Gradient Descent (PGD) pose significant threats to the robustness of deep learning models in im…
Privacy in Federated Learning
Jaydip Sen, Hetvi Waghela, Sneha Rakshit
Federated Learning (FL) represents a significant advancement in distributed machine learning, enabling multiple participants to collaboratively train models without sharing raw dat…
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…
Exploring Sectoral Profitability in the Indian Stock Market Using Deep Learning
Jaydip Sen, Hetvi Waghela, Sneha Rakshit
This paper explores using a deep learning Long Short-Term Memory (LSTM) model for accurate stock price prediction and its implications for portfolio design. Despite the efficient m…
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
Hetvi Waghela, Jaydip Sen, Sneha Rakshit
In this paper, we introduce an enhanced textual adversarial attack method, known as Saliency Attention and Semantic Similarity driven adversarial Perturbation (SASSP). The proposed…
Semantic Stealth: Adversarial Text Attacks on NLP Using Several Methods
Roopkatha Dey, Aivy Debnath, Sayak Kumar Dutta +4
In various real-world applications such as machine translation, sentiment analysis, and question answering, a pivotal role is played by NLP models, facilitating efficient communica…
Evaluating Adversarial Robustness: A Comparison Of FGSM, Carlini-Wagner Attacks, And The Role of Distillation as Defense Mechanism
Trilokesh Ranjan Sarkar, Nilanjan Das, Pralay Sankar Maitra +5
This technical report delves into an in-depth exploration of adversarial attacks specifically targeted at Deep Neural Networks (DNNs) utilized for image classification. The study 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.…
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
Hetvi Waghela, Sneha Rakshit, Jaydip Sen
This paper introduces a novel adversarial attack method targeting text classification models, termed the Modified Word Saliency-based Adversarial At-tack (MWSAA). The technique bui…