| Secure smartcardbased fingerprint authentication TC Clancy, N Kiyavash, DJ Lin Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and …, 2003 | 745 | 2003 |
| Estimating the directed information to infer causal relationships in ensemble neural spike train recordings CJ Quinn, TP Coleman, N Kiyavash, NG Hatsopoulos Journal of computational neuroscience 30 (1), 17-44, 2011 | 327 | 2011 |
| RAINBOW: A robust and invisible non-blind watermark for network flows. A Houmansadr, N Kiyavash, N Borisov NDSS 47, 406-422, 2009 | 212 | 2009 |
| Directed information graphs C Quinn, N Kiyavash, TP Coleman arXiv preprint arXiv:1204.2003, 2012 | 191 | 2012 |
| Global convergence and variance reduction for a class of nonconvex-nonconcave minimax problems J Yang, N Kiyavash, N He Advances in neural information processing systems 33, 1153-1165, 2020 | 147 | 2020 |
| Improved achievability and converse bounds for erdos-renyi graph matching D Cullina, N Kiyavash ACM SIGMETRICS Performance Evaluation Review 44 (1), 63-72, 2016 | 146 | 2016 |
| Multi-flow Attacks Against Network Flow Watermarking Schemes. N Kiyavash, A Houmansadr, N Borisov USENIX security symposium, 307-320, 2008 | 118 | 2008 |
| Trusted integrated circuits: A nondestructive hidden characteristics extraction approach Y Alkabani, F Koushanfar, N Kiyavash, M Potkonjak International Workshop on Information Hiding, 102-117, 2008 | 116 | 2008 |
| Nonasymptotic upper bounds for deletion correcting codes AA Kulkarni, N Kiyavash IEEE Transactions on Information Theory 59 (8), 5115-5130, 2013 | 115 | 2013 |
| Exact alignment recovery for correlated Erd\H {o} sR\'enyi graphs D Cullina, N Kiyavash arXiv preprint arXiv:1711.06783, 2017 | 105 | 2017 |
| Global convergence and variance-reduced optimization for a class of nonconvex-nonconcave minimax problems J Yang, N Kiyavash, N He arXiv preprint arXiv:2002.09621, 2020 | 97 | 2020 |
| The complexity of nonconvex-strongly-concave minimax optimization S Zhang, J Yang, C Guzmán, N Kiyavash, N He Uncertainty in Artificial Intelligence, 482-492, 2021 | 94 | 2021 |
| Learning causal structures using regression invariance AE Ghassami, S Salehkaleybar, N Kiyavash, K Zhang Advances in Neural Information Processing Systems 30, 2017 | 92 | 2017 |
| Budgeted experiment design for causal structure learning AE Ghassami, S Salehkaleybar, N Kiyavash, E Bareinboim International Conference on Machine Learning, 1724-1733, 2018 | 90 | 2018 |
| Website detection using remote traffic analysis X Gong, N Borisov, N Kiyavash, N Schear International Symposium on Privacy Enhancing Technologies Symposium, 58-78, 2012 | 84 | 2012 |
| Fingerprinting websites using remote traffic analysis X Gong, N Kiyavash, N Borisov Proceedings of the 17th ACM conference on Computer and communications …, 2010 | 83 | 2010 |
| Multi-domain causal structure learning in linear systems AE Ghassami, N Kiyavash, B Huang, K Zhang Advances in neural information processing systems 31, 2018 | 82 | 2018 |
| Sneak-peek: High speed covert channels in data center networks R Tahir, MT Khan, X Gong, A Ahmed, A Ghassami, H Kazmi, M Caesar, ... IEEE INFOCOM 2016-The 35th Annual IEEE International Conference on Computer …, 2016 | 81* | 2016 |
| A catalyst framework for minimax optimization J Yang, S Zhang, N Kiyavash, N He Advances in Neural Information Processing Systems 33, 5667-5678, 2020 | 80 | 2020 |
| Learning network of multivariate hawkes processes: A time series approach J Etesami, N Kiyavash, K Zhang, K Singhal arXiv preprint arXiv:1603.04319, 2016 | 79 | 2016 |
Jalal EtesamiTechnical University of MunichVerified email at tum.de
