Gianluca Stringhini
Artificial Intelligence · 2010–2022
A researcher in the Science corpus: 10 papers; trusts 26 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 105 citations into it; #16,499 of 35,345 by trust here, #9,870 by citations
- Natural Language Processing — 56 citations into it; #5,517 of 5,688 by trust here, #2,069 by citations
- Information Systems — 53 citations into it; #4,611 of 8,771 by trust here, #2,471 by citations
- Safety, Robustness & Interpretability — 38 citations into it; #2,153 of 2,251 by trust here, #807 by citations
- Computer Networks and Communications — 37 citations into it; #8,986 of 9,886 by trust here, #6,498 by citations
- Computer Vision and Pattern Recognition — 14 citations into it
- Model Architectures — 5 citations into it
Whom Gianluca Stringhini trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Trevor J. Hastie
- Alexandros Ntoulas
- Geoffrey E. Hinton
- Mark A. Hall
- Leo Breiman
- Vincent D. Blondel
- Yoshua Bengio
- Marco Cova
- Ilya Sutskever
- Christopher Krügel
Who trusts Gianluca Stringhini overall
- Jonghyuk Song
- Yazan Boshmaf
- Stefano Cresci
- Jacopo Castellini
- Chao Yang
- Feargus Pendlebury
- Kurt Thomas
- Minghong Fang
- Neil Zhenqiang Gong
- Bertie Vidgen
Papers from Gianluca Stringhini's perspective
Ordered by how strongly the researchers Gianluca Stringhini trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Et al
Their papers
- Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web (2016) — 246 citations
- Detecting spammers on social networks (2010) — 962 citations
- Mean Birds: Detecting Aggression and Bullying on Twitter (2017) — 435 citations
- On the Origins of Memes by Means of Fringe Web Communities (2018) — 301 citations
- Why So Toxic?: Measuring and Triggering Toxic Behavior in Open-Domain Chatbots (2022) — 86 citations
- Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior (2018) — 824 citations
- MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (2016) — 481 citations
- EVILCOHORT: Detecting Communities of Malicious Accounts on Online Services (2015) — 84 citations
- Shady paths: leveraging surfing crowds to detect malicious web pages (2013) — 130 citations
- COMPA: Detecting Compromised Accounts on Social Networks (2013) — 305 citations