🧑‍🔬 Emilio Ferrara

🏛️ Affiliations

🎓University of Southern CaliforniaLos Angeles · United States2012–2026 · 1,667 papersEmployment · Professorcurrent🎓Thomas UniversityThomasville · United States2026 · 2 paperscurrent🎓University of California, Santa BarbaraSanta Barbara · United States2026 · 1 papercurrent🎓Indiana UniversityBloomington · United States2012–2018 · 46 papers🎓Indiana University BloomingtonBloomington · United States2012–2018 · 43 papers🎓University of MessinaMessina · Italy2010–2013 · 22 papersEducation

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Factuality Challenges in the Era of Large Language Models (2023 · 243 citations)
   This perspective article, written by researchers and fact-checking practitioners, looks at how chatbots built on LLMs such as ChatGPT, Bing Chat and Bard affect the reliability of public information. It presents no new dataset or model. Instead, it surveys existing evidence and frames the problem in two parts:
2. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models (2026)
   The paper exposes a security weakness in modern Vision-Language-Action (VLA) robot policies. When a model predicts a chunk of K future actions as relative (delta pose) movements, the robot carries out the whole chunk without visual correction. This intra-chunk open loop lets small per-step errors add up into a large…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Factuality Challenges in the Era of Large Language ModelsNature Machine IntelligenceIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 243 citations
2. FairFed: Enabling Group Fairness in Federated Learning ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetYahya H. Ezzeldin et al.2021 · 200 citations
3. SAGE: A Hybrid Geopolitical Event Forecasting System ↗International Joint Conference on Artificial Intelligence · no summary yetFred Morstatter et al.2019 · 24 citations
4. Hybrid forecasting of geopolitical events† ↗AI Magazine · no summary yetDaniel M. Benjamin et al.2023 · 18 citations
5. SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action ModelsFindings of the Association for Computational LinguisticsBingxin Xu, Yuzhang Shang, Binghui Wang, et al.2026

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Alon Y. Halevy
• Binghui Wang
• David Corney
• Eduard Hovy
• Heng Ji
• Isabelle Augenstein
• Meeyoung Cha
• Scott A. Hale
• Tanmoy Chakraborty
• Timothy Baldwin
• Yuzhang Shang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
• Nature Machine Intelligence: Nature Machine Intelligence 2023
• AI Magazine
• International Joint Conference on Artificial Intelligence
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 80 times (of the 149,439 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated 2 November 2026

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