| Aerie: Flexible file-system interfaces to storage-class memory H Volos, S Nalli, S Panneerselvam, V Varadarajan, P Saxena, MM Swift Proceedings of the Ninth European Conference on Computer Systems, 1-14, 2014 | 297 | 2014 |
| Resource-freeing attacks: improve your cloud performance (at your neighbor's expense) V Varadarajan, T Kooburat, B Farley, T Ristenpart, MM Swift Proceedings of the 2012 ACM conference on Computer and communications …, 2012 | 238 | 2012 |
| A Placement Vulnerability Study in Multi-tenant Public Clouds V Varadarajan, Y Zhang, T Ristenpart, M Swift 24th USENIX Security Symposium, 913--928, 2015 | 233 | 2015 |
| More for your money: exploiting performance heterogeneity in public clouds B Farley, A Juels, V Varadarajan, T Ristenpart, KD Bowers, MM Swift Proceedings of the Third ACM Symposium on Cloud Computing, 1-14, 2012 | 216 | 2012 |
| Scheduler-based Defenses against Cross-VM Side-channels V Varadarajan, T Ristenpart, M Swift 23rd USENIX Security Symposium (USENIX Security 14), 2014 | 205 | 2014 |
| A many-core architecture for in-memory data processing SR Agrawal, S Idicula, A Raghavan, E Vlachos, V Govindaraju, ... Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 63 | 2017 |
| Oracle automl: a fast and predictive automl pipeline A Yakovlev, HF Moghadam, A Moharrer, J Cai, N Chavoshi, ... Proceedings of the VLDB Endowment 13 (12), 3166-3180, 2020 | 55 | 2020 |
| Algorithm-specific neural network architectures for automatic machine learning model selection S Agrawal, S Idicula, V Varadarajan, N Agarwal US Patent 11,544,494, 2023 | 36 | 2023 |
| Determining instances to maintain on at least one cloud responsive to an evaluation of performance characteristics A Juels, KD Bowers, B Farley, V Varadarajan, T Ristenpart, MM Swift US Patent 9,128,739, 2015 | 28 | 2015 |
| Gradient-based auto-tuning for machine learning and deep learning models V Varadarajan, S Idicula, S Agrawal, N Agarwal US Patent 11,176,487, 2021 | 26 | 2021 |
| Using meta-learning for automatic gradient-based hyperparameter optimization for machine learning and deep learning models V Varadarajan, S Agrawal, S Idicula, N Agarwal US Patent App. 15/914,883, 2019 | 24 | 2019 |
| Rapid: In-memory analytical query processing engine with extreme performance per watt C Balkesen, N Kunal, G Giannikis, P Fender, S Sundara, F Schmidt, ... Proceedings of the 2018 International Conference on Management of Data, 1407 …, 2018 | 23 | 2018 |
| Scalable and efficient distributed auto-tuning of machine learning and deep learning models V Varadarajan, S Idicula, S Agrawal, N Agarwal US Patent 11,120,368, 2021 | 22 | 2021 |
| Game theoretic resistance to denial of service attacks using hidden difficulty puzzles H Narasimhan, V Varadarajan, CP Rangan Information Security, Practice and Experience: 6th International Conference …, 2010 | 17 | 2010 |
| Using hyperparameter predictors to improve accuracy of automatic machine learning model selection HF Moghadam, S Agrawal, V Varadarajan, A Yakovlev, S Idicula, ... US Patent 11,620,568, 2023 | 15 | 2023 |
| Predicting machine learning or deep learning model training time A Yakovlev, V Varadarajan, S Agrawal, HF Moghadam, S Idicula, ... US Patent 11,429,895, 2022 | 14 | 2022 |
| Anomaly detection in SS7 control network using reconstructive neural networks H Ahmadi, A Moharrer, V Varadarajan, V Akram, N Rai, R Hingorani, ... US Patent 11,451,670, 2022 | 13 | 2022 |
| Fast, predictive, and iteration-free automated machine learning pipeline V Varadarajan, SR Agrawal, HF Moghadam, A Yakovlev, A Moharrer, ... US Patent App. 17/086,204, 2021 | 10 | 2021 |
| Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms N Chavoshi, A Yakovlev, HF Moghadam, V Varadarajan, S Agrawal, ... US Patent 11,989,657, 2024 | 9 | 2024 |
| Towards a Cooperative Defense Model Against Network Security Attacks. H Narasimhan, V Varadarajan, CP Rangan WEIS, 2010 | 9 | 2010 |
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