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
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
2020· 7 citedOpen Access
Proceedings of the ACM on Measurement and Analysis of Computing Systems·2019· 18 citedOpen Access
ACM SIGMETRICS Performance Evaluation Review·2019· 4 cited
2019· 57 citedOpen Access
arXiv (Cornell University)·2019· 34 citedOpen Access
2019· 16 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)·2019· 7 citedOpen Access
arXiv (Cornell University)·2018· 4 citedOpen Access
arXiv (Cornell University)·2018Open Access
arXiv (Cornell University)·2018· 20 citedOpen Access
2018· 6 citedOpen Access
arXiv (Cornell University)·2018· 1 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)