Deepsecure: Scalable provably-secure deep learning BD Rouhani, MS Riazi, F Koushanfar Design Automation Conference (DAC), 2017 | 375 | 2017 |
Serving dnns in real time at datacenter scale with project brainwave E Chung, J Fowers, K Ovtcharov, M Papamichael, A Caulfield, ... iEEE Micro 38 (2), 8-20, 2018 | 293 | 2018 |
Deepsigns: An end-to-end watermarking framework for ownership protection of deep neural networks B Darvish Rouhani, H Chen, F Koushanfar Proceedings of the Twenty-Fourth International Conference on Architectural …, 2019 | 255* | 2019 |
Deepmarks: A digital fingerprinting framework for deep neural networks H Chen, BD Rohani, F Koushanfar arXiv preprint arXiv:1804.03648, 2018 | 145* | 2018 |
Deepfense: Online accelerated defense against adversarial deep learning BD Rouhani, M Samragh, M Javaheripi, T Javidi, F Koushanfar 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2018 | 67* | 2018 |
Safe Machine Learning and Defeating Adversarial Attacks BD Rouhani, M Samragh, T Javidi, F Koushanfar IEEE S&P Magazine, 2019 | 48 | 2019 |
Delight: Adding energy dimension to deep neural networks BD Rouhani, A Mirhoseini, F Koushanfar Proceedings of the 2016 International Symposium on Low Power Electronics and …, 2016 | 48 | 2016 |
Blackmarks: Blackbox multibit watermarking for deep neural networks H Chen, BD Rouhani, F Koushanfar arXiv preprint arXiv:1904.00344, 2019 | 44 | 2019 |
Pushing the limits of narrow precision inferencing at cloud scale with microsoft floating point B Darvish Rouhani, D Lo, R Zhao, M Liu, J Fowers, K Ovtcharov, ... Advances in neural information processing systems 33, 10271-10281, 2020 | 43 | 2020 |
DeepAttest: An End-to-End Attestation Framework for Deep Neural Networks H Chen, C Fu, BD Rouhani, J Zhao, F Koushanfar International Symposium on Computer Architecture (ISCA), 2019 | 32* | 2019 |
Deep3: Leveraging Three Levels of Parallelism for Efficient Deep Learning BD Rouhani, A Mirhoseini, F Koushanfar Design Automation Conference (DAC), 2017 | 32 | 2017 |
Ssketch: An automated framework for streaming sketch-based analysis of big data on fpga BD Rouhani, EM Songhori, A Mirhoseini, F Koushanfar Field-Programmable Custom Computing Machines (FCCM), 2015 IEEE 23rd Annual …, 2015 | 31 | 2015 |
Deep learning on private data MS Riazi, BD Rouani, F Koushanfar IEEE Security & Privacy 17 (6), 54-63, 2019 | 30 | 2019 |
Maxelerator: FPGA accelerator for privacy preserving multiply-accumulate (MAC) on cloud servers SU Hussain, BD Rouhani, M Ghasemzadeh, F Koushanfar Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018 | 27 | 2018 |
Design flow for quantized neural networks DC Burger, ES Chung, BD Rouhani, D Lo, R Zhao US Patent App. 15/972,054, 2019 | 21 | 2019 |
Chime: Checkpointing long computations on intermittently energized IoT devices A Mirhoseini, BD Rouhani, E Songhori, F Koushanfar IEEE, 2016 | 21 | 2016 |
Perform-ML: Performance Optimized Machine Learning by Platform and Content Aware Customization A Mirhoseini, BD Rouhani, EM Songhori, F Koushanfar Design Automation Conference (DAC), 2016 | 21 | 2016 |
Semihd: Semi-supervised learning using hyperdimensional computing M Imani, S Bosch, M Javaheripi, B Rouhani, X Wu, F Koushanfar, ... 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 1-8, 2019 | 20 | 2019 |
Training neural network accelerators using mixed precision data formats BD Rouhani, NA Taesik, ES Chung, D Lo, DC Burger US Patent App. 16/223,603, 2020 | 18 | 2020 |
Quantization for dnn accelerators DC Burger, ES Chung, BD Rouhani, D Lo, R Zhao US Patent App. 15/972,048, 2019 | 18 | 2019 |