LookNN: Neural network with no multiplication. - Mohammad Samragh Razlighi; Mohsen Imani; Farinaz Koushanfar; Tajana Rosing (DATE, 2017)

Customizing Neural Networks for Efficient FPGA Implementation. - Mohammad Samragh; Mohammad Ghasemzadeh 002; Farinaz Koushanfar (FCCM, 2017)

CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning. - Bita Darvish Rouhani; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (CoRR, 2017)

ResBinNet: Residual Binary Neural Network. - Mohammad Ghasemzadeh 002; Mohammad Samragh; Farinaz Koushanfar (CoRR, 2017)

CAMsure: Secure Content-Addressable Memory for Approximate Search. - M. Sadegh Riazi; Mohammad Samragh; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2017)

ReBNet: Residual Binarized Neural Network. - Mohammad Ghasemzadeh 002; Mohammad Samragh; Farinaz Koushanfar (FCCM, 2018)

Assured deep learning: practical defense against adversarial attacks. - Bita Darvish Rouhani; Mohammad Samragh; Mojan Javaheripi; Tara Javidi; Farinaz Koushanfar (ICCAD, 2018)

DeepFense: online accelerated defense against adversarial deep learning. - Bita Darvish Rouhani; Mohammad Samragh; Mojan Javaheripi; Tara Javidi; Farinaz Koushanfar (ICCAD, 2018)

RAPIDNN: In-Memory Deep Neural Network Acceleration Framework. - Mohsen Imani; Mohammad Samragh; Yeseong Kim; Saransh Gupta; Farinaz Koushanfar; Tajana Rosing (CoRR, 2018)

SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing. - Mohsen Imani; Sahand Salamat; Behnam Khaleghi; Mohammad Samragh; Farinaz Koushanfar; Tajana Rosing (FCCM, 2019)

CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs. - Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar (CoRR, 2019)

ASCAI: Adaptive Sampling for acquiring Compact AI. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (CoRR, 2019)

XONN: XNOR-based Oblivious Deep Neural Network Inference. - M. Sadegh Riazi; Mohammad Samragh; Hao Chen 030; Kim Laine; Kristin E. Lauter; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2019)

Safe Machine Learning and Defeating Adversarial Attacks. - Bita Darvish Rouhani; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (IEEE Secur. Priv., 2019)

GeneCAI: genetic evolution for acquiring compact AI. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (GECCO, 2020)

Deep Learning Acceleration with Neuron-to-Memory Transformation. - Mohsen Imani; Mohammad Samragh Razlighi; Yeseong Kim; Saransh Gupta; Farinaz Koushanfar; Tajana Rosing (HPCA, 2020)

CleaNN: Accelerated Trojan Shield for Embedded Neural Networks. - Mojan Javaheripi; Mohammad Samragh; Gregory Fields; Tara Javidi; Farinaz Koushanfar (ICCAD, 2020)

AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs. - Mojan Javaheripi; Mohammad Samragh; Tara Javidi; Farinaz Koushanfar (IEEE J. Sel. Top. Signal Process., 2020)

EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks. - Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2020)

COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks. - Siam Umar Hussain; Mojan Javaheripi; Mohammad Samragh; Farinaz Koushanfar (CCS, 2021)

On the Application of Binary Neural Networks in Oblivious Inference. - Mohammad Samragh; Siam U. Hussain; Xinqiao Zhang; Ke Huang 001; Farinaz Koushanfar (CVPR Workshops, 2021)

Trojan Signatures in DNN Weights. - Greg Fields; Mohammad Samragh; Mojan Javaheripi; Farinaz Koushanfar; Tara Javidi (ICCVW, 2021)

Unsupervised Information Obfuscation for Split Inference of Neural Networks. - Mohammad Samragh; Hossein Hosseini; Aleksei Triastcyn; Kambiz Azarian; Joseph Soriaga; Farinaz Koushanfar (CoRR, 2021)

Hardware/Algorithm Codesign for Adversarially Robust Deep Learning. - Mojan Javaheripi; Mohammad Samragh; Bita Darvish Rouhani; Tara Javidi; Farinaz Koushanfar (IEEE Des. Test, 2021)

AutoRank: Automated Rank Selection for Effective Neural Network Customization. - Mojan Javaheripi; Mohammad Samragh; Farinaz Koushanfar (IEEE J. Emerg. Sel. Topics Circuits Syst., 2021)

CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning. - Mojan Javaheripi; Mohammad Samragh; Bita Darvish Rouhani; Tara Javidi; Farinaz Koushanfar (IEEE Trans. Dependable Secur. Comput., 2021)

End-to-end Customization of Efficient, Private, and Robust Neural Networks - Mohammad Samragh Razlighi (2021)

I see what you hear: a vision-inspired method to localize words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Minsik Cho; Aman Chadha; Ashish Shrivastava 001; Oncel Tuzel; Devang Naik (CoRR, 2022)

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words. - Arnav Kundu; Mohammad Samragh; Minsik Cho; Priyanka Padmanabhan; Devang Naik (ICASSP, 2023)

I See What You Hear: A Vision-Inspired Method to Localize Words. - Mohammad Samragh; Arnav Kundu; Ting-Yao Hu; Aman Chadha; Ashish Srivastava; Minsik Cho; Oncel Tuzel; Devang Naik (ICASSP, 2023)

Weight subcloning: direct initialization of transformers using larger pretrained ones. - Mohammad Samragh; Mehrdad Farajtabar; Sachin Mehta; Raviteja Vemulapalli; Fartash Faghri; Devang Naik; Oncel Tuzel; Mohammad Rastegari (CoRR, 2023)

Scaling Smart: Accelerating Large Language Model Pre-Training with Small Model Initialization. - Mohammad Samragh; Seyed-Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (ENLSP, 2024)

Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder. - Alexandre Bittar; Paul Dixon; Mohammad Samragh; Kumari Nishu; Devang Naik (ICASSP, 2024)

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. - Mohammad Samragh; Iman Mirzadeh; Keivan Alizadeh-Vahid; Fartash Faghri; Minsik Cho; Moin Nabi; Devang Naik; Mehrdad Farajtabar (CoRR, 2024)

Scalable Binary Neural Network Applications in Oblivious Inference. - Xinqiao Zhang; Mohammad Samragh; Siam U. Hussain; Ke Huang 001; Farinaz Koushanfar (ACM Trans. Embed. Comput. Syst., 2024)

SPD: Sync-Point Drop for efficient tensor parallelism of Large Language Models. - Han-Byul Kim; Duc Hoang; Arnav Kundu; Mohammad Samragh; Minsik Cho (CoRR, 2025)

Your LLM Knows the Future: Uncovering Its Multi-Token Prediction Potential. - Mohammad Samragh; Arnav Kundu; David Harrison; Kumari Nishu; Devang Naik; Minsik Cho; Mehrdad Farajtabar (CoRR, 2025)