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ORCIDMohammad Samragh Razlighi
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2020 – today
- 2024
[j8]Xinqiao Zhang
, Mohammad Samragh, Siam U. Hussain, Ke Huang, Farinaz Koushanfar:
Scalable Binary Neural Network Applications in Oblivious Inference. ACM Trans. Embed. Comput. Syst. 23(3): 45:1-45:18 (2024)- [c16]Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik:
Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder. ICASSP 2024: 10386-10390 - [i16]Mohammad Samragh, Seyed-Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar:
Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR abs/2409.12903 (2024) - 2023
- [c15]Arnav Kundu, Mohammad Samragh, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. ICASSP 2023: 1-5 - [c14]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Aman Chadha, Ashish Srivastava, Minsik Cho, Oncel Tuzel, Devang Naik:
I See What You Hear: A Vision-Inspired Method to Localize Words. ICASSP 2023: 1-5 - [i15]Alexandre Bittar, Paul Dixon, Mohammad Samragh, Kumari Nishu, Devang Naik:
Improving vision-inspired keyword spotting using dynamic module skipping in streaming conformer encoder. CoRR abs/2309.00140 (2023) - [i14]Mohammad Samragh, Mehrdad Farajtabar, Sachin Mehta, Raviteja Vemulapalli, Fartash Faghri, Devang Naik, Oncel Tuzel, Mohammad Rastegari:
Weight subcloning: direct initialization of transformers using larger pretrained ones. CoRR abs/2312.09299 (2023) - 2022
- [i13]Mohammad Samragh, Arnav Kundu, Ting-Yao Hu, Minsik Cho, Aman Chadha, Ashish Shrivastava, Oncel Tuzel, Devang Naik:
I see what you hear: a vision-inspired method to localize words. CoRR abs/2210.13567 (2022) - [i12]Arnav Kundu, Mohammad Samragh Razlighi, Minsik Cho, Priyanka Padmanabhan, Devang Naik:
HEiMDaL: Highly Efficient Method for Detection and Localization of wake-words. CoRR abs/2210.15425 (2022) - 2021
- [b1]Mohammad Samragh Razlighi:
End-to-end Customization of Efficient, Private, and Robust Neural Networks. University of California, San Diego, USA, 2021 - [j7]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. IEEE Des. Test 38(3): 31-38 (2021) - [j6]Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
AutoRank: Automated Rank Selection for Effective Neural Network Customization. IEEE J. Emerg. Sel. Topics Circuits Syst. 11(4): 611-619 (2021) - [j5]Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. IEEE Trans. Dependable Secur. Comput. 18(2): 736-752 (2021) - [c13]Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar:
COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. CCS 2021: 3266-3281 - [c12]Mohammad Samragh, Siam U. Hussain, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar:
On the Application of Binary Neural Networks in Oblivious Inference. CVPR Workshops 2021: 4630-4639 - [c11]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. ICCVW 2021: 12-20 - [i11]Mohammad Samragh, Hossein Hosseini, Aleksei Triastcyn, Kambiz Azarian, Joseph Soriaga, Farinaz Koushanfar:
Unsupervised Information Obfuscation for Split Inference of Neural Networks. CoRR abs/2104.11413 (2021) - [i10]Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi:
Trojan Signatures in DNN Weights. CoRR abs/2109.02836 (2021) - 2020
- [j4]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. IEEE J. Sel. Top. Signal Process. 14(4): 750-764 (2020) - [j3]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 19(6): 43:1-43:29 (2020) - [c10]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: genetic evolution for acquiring compact AI. GECCO 2020: 350-358 - [c9]Mohsen Imani, Mohammad Samragh Razlighi, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
Deep Learning Acceleration with Neuron-to-Memory Transformation. HPCA 2020: 1-14 - [c8]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. ICCAD 2020: 11:1-11:9 - [i9]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
GeneCAI: Genetic Evolution for Acquiring Compact AI. CoRR abs/2004.04249 (2020) - [i8]Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar:
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks. CoRR abs/2009.02326 (2020)
2010 – 2019
- 2019
- [j2]Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
Safe Machine Learning and Defeating Adversarial Attacks. IEEE Secur. Priv. 17(2): 31-38 (2019) - [c7]Mohsen Imani, Sahand Salamat, Behnam Khaleghi, Mohammad Samragh, Farinaz Koushanfar, Tajana Rosing:
SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. FCCM 2019: 190-198 - [c6]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. USENIX Security Symposium 2019: 1501-1518 - [i7]Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar:
CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. CoRR abs/1901.05582 (2019) - [i6]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. CoRR abs/1902.07342 (2019) - [i5]Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
ASCAI: Adaptive Sampling for acquiring Compact AI. CoRR abs/1911.06471 (2019) - [i4]M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar:
XONN: XNOR-based Oblivious Deep Neural Network Inference. IACR Cryptol. ePrint Arch. 2019: 171 (2019) - 2018
- [c5]Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar:
ReBNet: Residual Binarized Neural Network. FCCM 2018: 57-64 - [c4]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
Assured deep learning: practical defense against adversarial attacks. ICCAD 2018: 20 - [c3]Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar:
DeepFense: online accelerated defense against adversarial deep learning. ICCAD 2018: 134 - [i3]Mohsen Imani, Mohammad Samragh, Yeseong Kim, Saransh Gupta, Farinaz Koushanfar, Tajana Rosing:
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. CoRR abs/1806.05794 (2018) - 2017
- [j1]M. Sadegh Riazi, Mohammad Samragh, Farinaz Koushanfar:
CAMsure: Secure Content-Addressable Memory for Approximate Search. ACM Trans. Embed. Comput. Syst. 16(5s): 136:1-136:20 (2017) - [c2]Mohammad Samragh Razlighi, Mohsen Imani, Farinaz Koushanfar, Tajana Rosing:
LookNN: Neural network with no multiplication. DATE 2017: 1775-1780 - [c1]Mohammad Samragh, Mohammad Ghasemzadeh, Farinaz Koushanfar:
Customizing Neural Networks for Efficient FPGA Implementation. FCCM 2017: 85-92 - [i2]Bita Darvish Rouhani, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar:
CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning. CoRR abs/1709.02538 (2017) - [i1]Mohammad Ghasemzadeh, Mohammad Samragh, Farinaz Koushanfar:
ResBinNet: Residual Binary Neural Network. CoRR abs/1711.01243 (2017)
Coauthor Index
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