Gradient-based Data Subversion Attack Against Binary Classifiers. - Rosni K. Vasu; Sanjay Seetharaman; Shubham Malaviya; Manish Shukla 001; Sachin Lodha (CoRR, 2021)

Influence Based Defense Against Data Poisoning Attacks in Online Learning. - Sanjay Seetharaman; Shubham Malaviya; Rosni K. Vasu; Manish Shukla 001; Sachin Lodha (COMSNETS, 2022)

Reducing Communication Overhead in Federated Learning for Pre-trained Language Models Using Parameter-Efficient Finetuning. - Shubham Malaviya; Manish Shukla 001; Sachin Lodha (CoLLAs, 2023)

FedFAME: A Data Augmentation Free Framework based on Model Contrastive Learning for Federated Semi-Supervised Learning. - Shubham Malaviya; Manish Shukla 001; Pratik Korat; Sachin Lodha (SAC, 2023)

Poster: Context-Based Effective Password Detection in Plaintext. - Manish Shukla 001; Shubham Malaviya; Sachin Lodha (CCS, 2024)

Poster: Unmasking Label Errors: A need for Robust Cybersecurity Benchmarks. - Shubham Malaviya; Manish Shukla 001; Saurabh Anand; Sachin Lodha (CCS, 2024)

CompFreeze : Combining Compacters and Layer Freezing for Enhanced Pre-Trained Language Model. - Saurabh Anand; Shubham Malaviya; Manish Shukla 001; Sachin Lodha (PST, 2024)

DroPacter : Compacter-based Tuning with Layer Freezing in Pre-Trained Language Model. - Saurabh Anand; Shubham Malaviya; Manish Shukla 001; Sachin Lodha (SAC, 2024)

Toward Scalable Human-in-the-Loop Annotation Error Detection with Label Noise-Aware Training. - Shubham Malaviya; Manish Shukla 001; Sachin Lodha (HILDA@SIGMOD, 2025)