Mohammad Samragh Razlighi

According to our database1, Mohammad Samragh Razlighi authored at least 18 papers between 2017 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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.
CoRR, 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


  Loading...