Audio-Visual Emotion Forecasting: Characterizing and Predicting Future Emotion Using Deep Learning. - Sadat Shahriar; Yelin Kim (FG, 2019)

A Domain-Independent Holistic Approach to Deception Detection. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (RANLP, 2021)

Deception Detection with Feature-Augmentation by Soft Domain Transfer. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (SocInfo, 2022)

Improving Phishing Detection Via Psychological Trait Scoring. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (CoRR, 2022)

The Looming Threat of Fake and LLM-generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (HT, 2023)

Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos. - Sadat Shahriar; Arjun Mukherjee (RANLP, 2023)

Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences among Deceptive Domains. - Sadat Shahriar; Arjun Mukherjee; Omprakash Gnawali (RANLP, 2023)

SafeWebUH at SemEval-2023 Task 11: Learning Annotator Disagreement in Derogatory Text: Comparison of Direct Training vs Aggregation. - Sadat Shahriar; Thamar Solorio (SemEval@ACL, 2023)

Seeing Through AI's Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (HT, 2024)

HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text? - Shubhashis Roy Dipta; Sadat Shahriar (SemEval@NAACL, 2024)

Inference time LLM alignment in single and multidomain preference spectrum. - Sadat Shahriar; Zheng Qi; Nikolaos Pappas 004; Srikanth Doss; Monica Sunkara; Kishaloy Halder; Manuel Mager; Yassine Benajiba (CoRR, 2024)

Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-generated Text Detection. - Navid Ayoobi; Sadat Shahriar; Arjun Mukherjee (CoRR, 2025)