Amir Feder, Neil Gandal, J.T. Hamrick and Tyler Moore. "The impact of DDoS and other security shocks on Bitcoin currency exchanges: evidence from Mt. Gox." Journal of Cybersecurity (Volume 3, pages: 137-144). 2017.
- B.S. in GitHub, GitHub University, 2012
- M.S. in Jekyll, GitHub University, 2014
- Ph.D in Version Control Theory, GitHub University, 2018 (expected)
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
Amir Feder, Neil Gandal, J.T. Hamrick, Tyler Moore and Marie Vasek. "The Rise and Fall of Cryptocurrencies." Workshop on the Economics of Information Security. 2018.
J.T. Hamrick, Farhang Rouhi, Arghya Mukherjee, Amir Feder, Neil Gandal, Tyler Moore and Marie Vasek. "The Economics of Cryptocurrency Pump and Dump Schemes." Workshop on the Economics of Information Security. 2019.
Amir Feder, Danny Vainstein, Roni Rosenfeld, Tzvika Hartman, Avinatan Hassidim and Yossi Matias. "Active Deep Learning to Detect Demographic Traits in Free-Form Clinical Notes." Journal of Biomedical Informatics (Volume 107). 2020.
Amir Feder*, Nadav Oved* and Roi Reichart. "Predicting In-game Actions from Interviews of NBA Players." Computational Linguistics (Vol. 46, No. 3). 2020.
Amir Feder, Nadav Oved, Uri Shalit and Roi Reichart. "CausaLM: Causal Model Explanation Through Counterfactual Language Models"
Yoav Wald*, 'Amir Feder*, Daniel Greenfeld and Uri Shalit. "On Calibration and Out-of-domain Generalization"'
Daniel Yakoby, Itai Gat, 'Amir Feder and Roi Reichart. "Are VQA Systems RAD? Measuring Robustness to Augmented Data"'
Amir Feder*, Guy Rotman* and Roi Reichart. "Model Compression for Domain Adaptation through Causal Effect Estimation"
Shlomo Hoory, Amir Feder, Avichai Tendler, Alon Cohen, Sofia Erell, Itay Laish, Hootan Nakhost, Uri Stemmer, Ayelet Benjamini, Avinatan Hassidim and Yossi Matias. "Learning and Evaluating a Differentially Private Pre-trained Language Model"'
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Service and leadership
- Currently signed in to 43 different slack teams