Profiling Fake News: Learning the Semantics and Characterisation of Misinformation. - Swati Agarwal 001; Adithya Samavedhi (ADMA, 2021)

Supervised Contrastive Learning for Interpretable Long Document Comparison. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (CoRR, 2021)

Robust Malware Detection Models: Learning from Adversarial Attacks and Defenses. - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (Digit. Investig., 2021)

Are Malware Detection Models Adversarial Robust Against Evasion Attack? - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (INFOCOM Workshops, 2022)

Transformer-based Models for Long-Form Document Matching: Challenges and Empirical Analysis. - Akshita Jha; Adithya Samavedhi; Vineeth Rakesh; Jaideep Chandrashekar; Chandan K. Reddy (EACL (Findings), 2023)

SELFOOD: Self-Supervised Out-Of-Distribution Detection via Learning to Rank. - Dheeraj Mekala; Adithya Samavedhi; Chengyu Dong; Jingbo Shang (EMNLP (Findings), 2023)

Supervised Contrastive Learning for Interpretable Long-Form Document Matching. - Akshita Jha; Vineeth Rakesh; Jaideep Chandrashekar; Adithya Samavedhi; Chandan K. Reddy (ACM Trans. Knowl. Discov. Data, 2023)

Towards Adversarially Superior Malware Detection Models: An Adversary Aware Proactive Approach using Adversarial Attacks and Defenses. - Hemant Rathore; Adithya Samavedhi; Sanjay K. Sahay; Mohit Sewak (Inf. Syst. Frontiers, 2023)

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models. - Shibo Hao; Yi Gu 002; Haotian Luo; Tianyang Liu 003; Xiyan Shao; Xinyuan Wang 010; Shuhua Xie; Haodi Ma; Adithya Samavedhi; Qiyue Gao; Zhen Wang 041; Zhiting Hu (CoRR, 2024)