Editing Ponnurangam Kumaraguru (section)

==Research & Publications==
His area of interests are [[Natural Language Processing]], Applied Machine Learning.<ref>{{Cite web |title=ACM Ponnurangam profile details |url=https://india.acm.org/education/learning/esp/ponnurangam-kumaraguru}}</ref>

# The wmdp benchmark: Measuring and reducing malicious use with unlearning in 2024.<ref>{{Cite web |title=The wmdp benchmark: Measuring and reducing malicious use with unlearning |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:DrR-2ekChdkC}}</ref>
# Leveraging intra and inter modality relationship for multimodal fake news detection in 2022.<ref>{{Cite web |title=Leveraging intra and inter modality relationship for multimodal fake news detection |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:MpfHP-DdYjUC}}</ref>
# Stress classification using brain signals based on LSTM network in 2022.<ref>{{Cite web |title=Stress classification using brain signals based on LSTM network |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:LdasjJ6CEcoC}}</ref>
# “Subverting the Jewtocracy”: Online antisemitism detection using multimodal deep learning in 2021.<ref>{{Cite web |title=“Subverting the Jewtocracy”: Online antisemitism detection using multimodal deep learning |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:ZzlSgRqYykMC}}</ref>
# Automating fake news detection system using multi-level voting model in 2020.<ref>{{Cite web |title=Automating fake news detection system using multi-level voting model |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&citation_for_view=MfzQyP8AAAAJ:9pM33mqn1YgC}}</ref>
# Mind your language: Abuse and offense detection for code-switched languages in 2019.<ref>{{Cite web |title=Mind your language: Abuse and offense detection for code-switched languages |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:BwyfMAYsbu0C}}</ref>
# Collective classification of spam campaigners on Twitter: A hierarchical meta-path based approach in 2018.<ref>{{Cite web |title=Collective classification of spam campaigners on Twitter: A hierarchical meta-path based approach |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:nrtMV_XWKgEC}}</ref>
# A social media based index of mental well-being in college campuses in 2017.<ref>{{Cite web |title=A social media based index of mental well-being in college campuses |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:9vf0nzSNQJEC}}</ref>
# Analyzing social and stylometric features to identify spear phishing emails in 2014.<ref>{{Cite web |title=Analyzing social and stylometric features to identify spear phishing emails |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&cstart=20&pagesize=80&citation_for_view=MfzQyP8AAAAJ:D03iK_w7-QYC}}</ref>
# Who falls for phish? A demographic analysis of phishing susceptibility and effectiveness of interventions in 2010.<ref>{{Cite web |title=Who falls for phish? A demographic analysis of phishing susceptibility and effectiveness of interventions |url=https://scholar.google.com/citations?view_op=view_citation&hl=en&user=MfzQyP8AAAAJ&citation_for_view=MfzQyP8AAAAJ:Tyk-4Ss8FVUC}}</ref><br />