Mojan Javaheripi

Orcid: 0000-0003-4062-8807

According to our database1, Mojan Javaheripi authored at least 35 papers between 2018 and 2023.

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Bibliography

2023
Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings.
ACM Trans. Design Autom. Electr. Syst., November, 2023

AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks.
ACM J. Emerg. Technol. Comput. Syst., January, 2023

Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning.
IACR Cryptol. ePrint Arch., 2023

Textbooks Are All You Need.
CoRR, 2023

NetFlick: Adversarial Flickering Attacks on Deep Learning Based Video Compression.
CoRR, 2023

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression.
Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

zPROBE: Zero Peek Robustness Checks for Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022
Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems.
CoRR, 2022

LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models.
CoRR, 2022

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

SWANN: Small-World Architecture for Fast Convergence of Neural Networks.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

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

Machine Learning-Assisted E-jet Printing of Organic Flexible Biosensors.
CoRR, 2021

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

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.
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

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

Unified Architectural Support for Secure and Robust Deep Learning.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019
MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation.
IACR Cryptol. ePrint Arch., 2019

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

SWNet: Small-World Neural Networks and Rapid Convergence.
CoRR, 2019

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

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing.
Proceedings of the International Conference on Computer-Aided Design, 2019

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA.
Proceedings of the International Conference on Computer-Aided Design, 2019

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


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