most citedRobust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks

26 citations · 43 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CR2025★ 1 cited

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…

cs.CR2024★ 4 cited

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…

cs.CR2024★ 26 cited

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…

cs.CR2024★ 4 cited

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…

cs.LG2024★ 1 cited

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…

q-fin.CP2024

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…

cs.CR2024★ 3 cited

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…

cs.CL2024★ 1 cited

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.…

cs.CL2024★ 3 cited

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…