Daniel Cullina

Computer Science · Physical Sciences

16h-index858citations53works0.02yr avg

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Research Topics

Advanced Graph Neural Networks(16), DNA and Biological Computing(13), Adversarial Robustness in Machine Learning(11), Graph Theory and Algorithms(9), Advanced biosensing and bioanalysis techniques(8)

Publications53 total

arXiv (Cornell University)·2023Open Access
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
International Conference on Machine Learning·2021
arXiv (Cornell University)·2021· 1 citedOpen Access
ACM SIGMETRICS Performance Evaluation Review·2020· 10 cited
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2019· 18 citedOpen Access
ACM SIGMETRICS Performance Evaluation Review·2019· 4 cited
arXiv (Cornell University)·2019· 34 citedOpen Access
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2019· 25 citedOpen Access
arXiv (Cornell University)·2019· 7 citedOpen Access
arXiv (Cornell University)·2018· 4 citedOpen Access
arXiv (Cornell University)·2018· 20 citedOpen Access
2018· 6 citedOpen Access
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Frequent Co-authors

Negar Kiyavash(33), Prateek Mittal(16), Arjun Nitin Bhagoji(10), Osman Emre Dai(9), Matthias Grossglauser(6), H. Vincent Poor(5), Chawin Sitawarin(4), Vikash Sehwag(4), Ankur A. Kulkarni(3), Alessandra Melani(3), Renato Mancuso(3), Marco Caccamo(3), Lothar Thiele(3), Alexandros G. Dimakis(2), Tracey Ho(2), Liwei Song(2), Mung Chiang(2), Kushagra Singhal(2), Prateek Mittal(1), Marco Dalai(1)