ParaQG: A System for Generating Questions and Answers from Paragraphs. - Vishwajeet Kumar; Sivaanandh Muneeswaran; Ganesh Ramakrishnan; Yuan-Fang Li (EMNLP/IJCNLP (3), 2019)

Peekaboo: Hide and Seek with Malware Through Lightweight Multi-feature Based Lenient Hybrid Approach. - Mingchang Liu; Vinay Sachidananda; Hongyi Peng; Rajendra Patil; Sivaanandh Muneeswaran; Mohan Gurusamy (ICICS, 2022)

ODDITY: An Ensemble Framework Leverages Contrastive Representation Learning for Superior Anomaly Detection. - Hongyi Peng; Vinay Sachidananda; Teng Joon Lim; Rajendra Patil; Mingchang Liu; Sivaanandh Muneeswaran; Mohan Gurusamy (ICICS, 2022)

LOG-OFF: A Novel Behavior Based Authentication Compromise Detection Approach. - Mingchang Liu; Vinay Sachidananda; Hongyi Peng; Rajendra Patil; Sivaanandh Muneeswaran; Mohan Gurusamy (PST, 2022)

Hiatus: Unsupervised Generative Approach for Detection of DoS and DDoS Attacks. - Sivaanandh Muneeswaran; Vinay Sachidananda; Rajendra Patil; Hongyi Peng; Mingchang Liu; Mohan Gurusamy (SecureComm, 2022)

Do NoT Open (DOT): A Unified Generic and Specialized Models for Detecting Malicious Email Attachments. - Vinay Sachidananda; Sivaanandh Muneeswaran; Yang Liu 003; Kwok-Yan Lam (TrustCom, 2023)

E-Audit: Distinguishing and investigating suspicious events for APTs attack detection. - Rajendra Patil; Sivaanandh Muneeswaran; Vinay Sachidananda; Mohan Gurusamy (J. Syst. Archit., 2023)

PRIORITI: scoring and categorization-based threat prioritization. - Rajendra Patil; Sivaanandh Muneeswaran; Vinay Sachidananda; Hongyi Peng; Mohan Gurusamy (J. Supercomput., 2025)