Shubham Malaviya

According to our database, Shubham Malaviya authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Augmenting Parameter-Efficient Pre-trained Language Models with Large Language Models.

Saurabh Anand, Shubham Malaviya, Manish Shukla, Sachin Lodha

CoRR, February, 2026

Red Flags in the Browser: Detecting Impulsive Clicks for Adaptive Cybersecurity.

Shubham Malaviya, Manish Shukla, Anuj Bagad, Sachin Lodha

Proceedings of the 18th International Conference on COMmunication Systems and NETworks, 2026

2025

Toward Scalable Human-in-the-Loop Annotation Error Detection with Label Noise-Aware Training.

Shubham Malaviya, Manish Shukla, Sachin Lodha

Proceedings of the Workshop on Human-In-the-Loop Data Analytics, 2025

Poster: Impulse in the Clickstream: Behavioral Insights from Browsing History.

Shubham Malaviya, Anuj Bagad, Manish Shukla, Sachin Lodha

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

DroPacter : Compacter-based Tuning with Layer Freezing in Pre-Trained Language Model.

Saurabh Anand, Shubham Malaviya, Manish Shukla, Sachin Lodha

Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

CompFreeze : Combining Compacters and Layer Freezing for Enhanced Pre-Trained Language Model.

Saurabh Anand, Shubham Malaviya, Manish Shukla, Sachin Lodha

Proceedings of the 21st Annual International Conference on Privacy, Security and Trust, 2024

Poster: Unmasking Label Errors: A need for Robust Cybersecurity Benchmarks.

Shubham Malaviya, Manish Shukla, Saurabh Anand, Sachin Lodha

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

Poster: Context-Based Effective Password Detection in Plaintext.

Manish Shukla, Shubham Malaviya, Sachin Lodha

Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, 2024

2023

FedFAME: A Data Augmentation Free Framework based on Model Contrastive Learning for Federated Semi-Supervised Learning.

Shubham Malaviya, Manish Shukla, Pratik Korat, Sachin Lodha

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing, 2023

Reducing Communication Overhead in Federated Learning for Pre-trained Language Models Using Parameter-Efficient Finetuning.

Shubham Malaviya, Manish Shukla, Sachin Lodha

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Influence Based Defense Against Data Poisoning Attacks in Online Learning.

Sanjay Seetharaman, Shubham Malaviya, Rosni K. Vasu, Manish Shukla, Sachin Lodha

Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021

Gradient-based Data Subversion Attack Against Binary Classifiers.

Rosni K. Vasu, Sanjay Seetharaman, Shubham Malaviya, Manish Shukla, Sachin Lodha

CoRR, 2021