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2020 – today
- 2021
[b1]Parsa Saadatpanah:
Adversarial Machine Learning in the Wild. University of Maryland, College Park, MD, USA, 2021- 2020
- [c5]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. ICLR 2020 - [c4]Parsa Saadatpanah, Ali Shafahi, Tom Goldstein:
Adversarial Attacks on Copyright Detection Systems. ICML 2020: 8307-8315 - [c3]Ziwei Zhu
, Shahin Sefati, Parsa Saadatpanah, James Caverlee:
Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation. SIGIR 2020: 1121-1130
2010 – 2019
- 2019
- [i2]Ali Shafahi, Parsa Saadatpanah, Chen Zhu, Amin Ghiasi, Christoph Studer, David W. Jacobs, Tom Goldstein:
Adversarially robust transfer learning. CoRR abs/1905.08232 (2019) - [i1]Parsa Saadatpanah, Ali Shafahi, Tom Goldstein:
Adversarial attacks on Copyright Detection Systems. CoRR abs/1906.07153 (2019) - 2018
- [c2]Shahin Sefati, Parsa Saadatpanah, Hassan Sayyadi, Jan Neumann:
Conversational content discovery via comcast X1 voice interface. RecSys 2018: 489 - 2017
- [c1]Ugur Koc, Parsa Saadatpanah, Jeffrey S. Foster, Adam A. Porter:
Learning a classifier for false positive error reports emitted by static code analysis tools. MAPL@PLDI 2017: 35-42
Coauthor Index
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