Mohammad Samragh Razlighi

Orcid: 0000-0003-1404-527X

According to our database1, Mohammad Samragh Razlighi authored at least 34 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Scalable Binary Neural Network Applications in Oblivious Inference.
ACM Trans. Embed. Comput. Syst., May, 2024

Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization.
CoRR, 2024

Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Weight subcloning: direct initialization of transformers using larger pretrained ones.
CoRR, 2023

I See What You Hear: A Vision-Inspired Method to Localize Words.
Proceedings of the IEEE International Conference on Acoustics, 2023

HEiMDaL: Highly Efficient Method for Detection and Localization of Wake-Words.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
I see what you hear: a vision-inspired method to localize words.
CoRR, 2022

2021
End-to-end Customization of Efficient, Private, and Robust Neural Networks
PhD thesis, 2021

CuRTAIL: ChaRacterizing and Thwarting AdversarIal Deep Learning.
IEEE Trans. Dependable Secur. Comput., 2021

AutoRank: Automated Rank Selection for Effective Neural Network Customization.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Hardware/Algorithm Codesign for Adversarially Robust Deep Learning.
IEEE Des. Test, 2021

Unsupervised Information Obfuscation for Split Inference of Neural Networks.
CoRR, 2021

Trojan Signatures in DNN Weights.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

On the Application of Binary Neural Networks in Oblivious Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020
EncoDeep: Realizing Bit-flexible Encoding for Deep Neural Networks.
ACM Trans. Embed. Comput. Syst., 2020

AdaNS: Adaptive Non-Uniform Sampling for Automated Design of Compact DNNs.
IEEE J. Sel. Top. Signal Process., 2020

CleaNN: Accelerated Trojan Shield for Embedded Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

Deep Learning Acceleration with Neuron-to-Memory Transformation.
Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2020

GeneCAI: genetic evolution for acquiring compact AI.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Safe Machine Learning and Defeating Adversarial Attacks.
IEEE Secur. Priv., 2019

XONN: XNOR-based Oblivious Deep Neural Network Inference.
IACR Cryptol. ePrint Arch., 2019

ASCAI: Adaptive Sampling for acquiring Compact AI.
CoRR, 2019

CodeX: Bit-Flexible Encoding for Streaming-based FPGA Acceleration of DNNs.
CoRR, 2019

SparseHD: Algorithm-Hardware Co-optimization for Efficient High-Dimensional Computing.
Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

2018
RAPIDNN: In-Memory Deep Neural Network Acceleration Framework.
CoRR, 2018

DeepFense: online accelerated defense against adversarial deep learning.
Proceedings of the International Conference on Computer-Aided Design, 2018

Assured deep learning: practical defense against adversarial attacks.
Proceedings of the International Conference on Computer-Aided Design, 2018

ReBNet: Residual Binarized Neural Network.
Proceedings of the 26th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2018

2017
CAMsure: Secure Content-Addressable Memory for Approximate Search.
ACM Trans. Embed. Comput. Syst., 2017

ResBinNet: Residual Binary Neural Network.
CoRR, 2017

CuRTAIL: ChaRacterizing and Thwarting AdversarIal deep Learning.
CoRR, 2017

Customizing Neural Networks for Efficient FPGA Implementation.
Proceedings of the 25th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2017

LookNN: Neural network with no multiplication.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2017


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