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Dimitris Tsipras

Dimitris Tsipras has 2 papers in our library, in 2017–2022; often with Aleksander Madry, Ludwig Schmidt, Percy Liang.

2 papers in our library · 2017–2022

OpenAlex · h-index 25 · 39 works · 5,551 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 4,880 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #1566

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Massachusetts Institute of TechnologyCambridge · United States2016–2022 · 20 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

 Works by year

2020s

20221 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Towards Deep Learning Models Resistant to Adversarial Attacks (2017 · 1,874 citations)
    Deep networks can be fooled by adversarial examples: inputs changed so slightly that people see no difference, yet the model misclassifies them.
  2. What Can Transformers Learn In-Context? A Case Study of Simple Function Classes (2022 · 209 citations)
    GPT-3 and similar models can solve tasks from examples in a prompt, but it is unclear whether they learn new tasks this way or only recall tasks from pretraining.

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. Towards Deep Learning Models Resistant to Adversarial AttacksarXiv:1706.06083Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, et al.2017 · 1,874 citations
  2. Holistic Evaluation of Language Models ↗arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yetPercy Liang et al.2022 · 1,001 citations
  3. Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetMicah Goldblum et al.2020 · 361 citations
  4. What Can Transformers Learn In-Context? A Case Study of Simple Function ClassesConference on Neural Information Processing Systems (NeurIPS)Shivam Garg, Dimitris Tsipras, Percy Liang, et al.2022 · 209 citations
  5. Identifying Statistical Bias in Dataset Replication ↗arXiv (Cornell University) · no summary yetLogan Engstrom et al.2020 · 14 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 4,880 times (of the 149,439 papers whose bibliographies we read); 1,202 citing papers with a page here →.

Updated

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