Ponnurangam Kumaraguru
Artificial Intelligence · 2005–2024
A researcher in the Science corpus: 17 papers; trusts 43 researchers and is trusted by 22 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 93 citations into it; #25,909 of 35,345 by trust here, #16,771 by citations
- Information Systems — 79 citations into it; #1,064 of 8,771 by trust here, #614 by citations
- Sociology and Political Science — 53 citations into it; #4,824 of 22,756 by trust here, #3,303 by citations
- Statistical and Nonlinear Physics — 24 citations into it; #2,495 of 10,127 by trust here, #1,755 by citations
- Signal Processing — 21 citations into it; #3,067 of 7,572 by trust here, #1,958 by citations
- Natural Language Processing — 14 citations into it
- Communication — 13 citations into it
- Computer Vision and Pattern Recognition — 11 citations into it
Whom Ponnurangam Kumaraguru trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lorrie Faith Cranor
- Rachna Dhamija
- Richard E. Mayer
- Ian Fette
- Steve Sheng
- Jason I. Hong
- Eva Jablonka
- Julie S. Downs
- Albert T. Corbett
- Alessandro Acquisti
Who trusts Ponnurangam Kumaraguru overall
- Steve Sheng
- Lorrie Faith Cranor
- Jason I. Hong
- Andrew Besmer
- Jemal H. Abawajy
- Alessandro Acquisti
- Srishti Gupta
- Xiao Han
- Andrew Daly
- Mahmoud Khonji
Papers from Ponnurangam Kumaraguru's perspective
Ordered by how strongly the researchers Ponnurangam Kumaraguru trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Et al
Their papers
- Mind Your Language: Abuse and Offense Detection for Code-Switched Languages (2018) — 37 citations
- Faking Sandy: characterizing and identifying fake images on Twitter during Hurricane Sandy (2013) — 659 citations
- Credibility ranking of tweets during high impact events (2012) — 347 citations
- TweetCred: Real-Time Credibility Assessment of Content on Twitter (2014) — 397 citations
- Getting users to pay attention to anti-phishing education: evaluation of retention and transfer (2007) — 185 citations
- Teaching Johnny not to fall for phish (2010) — 445 citations
- SpotFake: A Multi-modal Framework for Fake News Detection (2019) — 516 citations
- The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning (2024) — 473 citations
- Collective aspects of privacy in the Twitter social network (2018) — 30 citations
- Emerging phishing trends and effectiveness of the anti-phishing landing page (2014) — 30 citations
- Ladies First: Analyzing Gender Roles and Behaviors in Pinterest (2013) — 109 citations
- Who falls for phish?: a demographic analysis of phishing susceptibility and effectiveness of interventions (2010) — 783 citations
- Anti-Phishing Landing Page : Turning a 404 into a Teachable Moment for End Users (2009)
- School of phish: a real-world evaluation of anti-phishing training (2009) — 347 citations
- Protecting people from phishing: the design and evaluation of an embedded training email system (2007) — 369 citations
- Anti-Phishing Phil: the design and evaluation of a game that teaches people not to fall for phish (2007) — 635 citations
- Privacy Indexes: A Survey of Westin's Studies (2005) — 433 citations