Mojan Javaheripi

According to our database, Mojan Javaheripi authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Phi-4 Technical Report.

Marah I Abdin, Jyoti Aneja, Harkirat S. Behl, Sébastien Bubeck, Ronen Eldan, Suriya Gunasekar, Michael Harrison, Russell J. Hewett, Mojan Javaheripi, Piero Kauffmann, James R. Lee, Yin Tat Lee, Yuanzhi Li, Weishung Liu, Caio C. T. Mendes, Anh Nguyen, Eric Price, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Xin Wang, Rachel Ward, Yue Wu, Dingli Yu, Cyril Zhang, Yi Zhang

CoRR, 2024

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou

CoRR, 2024

RelKD 2024: The Second International Workshop on Resource-Efficient Learning for Knowledge Discovery.

Chuxu Zhang, Dongkuan Xu, Kaize Ding, Jundong Li, Mojan Javaheripi, Subhabrata Mukherjee, Nitesh V. Chawla, Huan Liu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings.

Ruisi Zhang, Shehzeen Hussain, Huili Chen, Mojan Javaheripi, Farinaz Koushanfar

ACM Trans. Design Autom. Electr. Syst., November, 2023

AccHashtag: Accelerated Hashing for Detecting Fault-Injection Attacks on Embedded Neural Networks.

Mojan Javaheripi, Jung-Woo Chang, Farinaz Koushanfar

ACM J. Emerg. Technol. Comput. Syst., January, 2023

Holistic Algorithm and System Co-Optimization for Trustworthy and Platform-Aware Deep Learning

Mojan Javaheripi

PhD thesis, 2023

Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning.

Kushal Babel, Mojan Javaheripi, Yan Ji, Mahimna Kelkar, Farinaz Koushanfar, Ari Juels

IACR Cryptol. ePrint Arch., 2023

Textbooks Are All You Need.

Suriya Gunasekar, Yi Zhang, Jyoti Aneja, Caio César Teodoro Mendes, Allie Del Giorno, Sivakanth Gopi, Mojan Javaheripi, Piero Kauffmann, Gustavo de Rosa, Olli Saarikivi, Adil Salim, Shital Shah, Harkirat Singh Behl, Xin Wang, Sébastien Bubeck, Ronen Eldan, Adam Tauman Kalai, Yin Tat Lee, Yuanzhi Li

CoRR, 2023

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

Jung-Woo Chang, Nojan Sheybani, Shehzeen Samarah Hussain, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

CoRR, 2023

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression.

Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery.

Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

zPROBE: Zero Peek Robustness Checks for Federated Learning.

Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs.

Ruisi Zhang, Mojan Javaheripi, Zahra Ghodsi, Amit Bleiweiss, Farinaz Koushanfar

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality.

Jung-Woo Chang, Mojan Javaheripi, Farinaz Koushanfar

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

2022

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

Jung-Woo Chang, Mojan Javaheripi, Seira Hidano, Farinaz Koushanfar

CoRR, 2022

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

Mojan Javaheripi, Shital Shah, Subhabrata Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

CoRR, 2022

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models.

Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa, Caio César Teodoro Mendes, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey

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.

Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar

IEEE Trans. Dependable Secur. Comput., 2021

AutoRank: Automated Rank Selection for Effective Neural Network Customization.

Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

SWANN: Small-World Architecture for Fast Convergence of Neural Networks.

Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar

IEEE J. Emerg. Sel. Topics Circuits Syst., 2021

Hardware/Algorithm Codesign for Adversarially Robust Deep Learning.

Mojan Javaheripi, Mohammad Samragh, Bita Darvish Rouhani, Tara Javidi, Farinaz Koushanfar

IEEE Des. Test, 2021

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

Mehran Abbasi Shirsavar, Mehrnoosh Taghavimehr, Lionel J. Ouedraogo, Mojan Javaheripi, Nicole N. Hashemi, Farinaz Koushanfar, Reza Montazami

CoRR, 2021

Trojan Signatures in DNN Weights.

Greg Fields, Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar, Tara Javidi

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.

Mojan Javaheripi, Farinaz Koushanfar

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution.

Hadi Pouransari, Mojan Javaheripi, Vinay Sharma, Oncel Tuzel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

COINN: Crypto/ML Codesign for Oblivious Inference via Neural Networks.

Siam Umar Hussain, Mojan Javaheripi, Mohammad Samragh, Farinaz Koushanfar

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.

Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar

ACM Trans. Embed. Comput. Syst., 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

CleaNN: Accelerated Trojan Shield for Embedded Neural Networks.

Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2020

GeneCAI: genetic evolution for acquiring compact AI.

Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Unified Architectural Support for Secure and Robust Deep Learning.

Mojan Javaheripi, Huili Chen, Farinaz Koushanfar

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

MPCircuits: Optimized Circuit Generation for Secure Multi-Party Computation.

M. Sadegh Riazi, Mojan Javaheripi, Siam U. Hussain, Farinaz Koushanfar

IACR Cryptol. ePrint Arch., 2019

ASCAI: Adaptive Sampling for acquiring Compact AI.

Mojan Javaheripi, Mohammad Samragh, Tara Javidi, Farinaz Koushanfar

CoRR, 2019

SWNet: Small-World Neural Networks and Rapid Convergence.

Mojan Javaheripi, Bita Darvish Rouhani, Farinaz Koushanfar

CoRR, 2019

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

Mohammad Samragh, Mojan Javaheripi, Farinaz Koushanfar

CoRR, 2019

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing.

Mohsen Imani, Samuel Bosch, Mojan Javaheripi, Bita Darvish Rouhani, Xinyu Wu, Farinaz Koushanfar, Tajana Rosing

Proceedings of the International Conference on Computer-Aided Design, 2019

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA.

Shehzeen Hussain, Mojan Javaheripi, Paarth Neekhara, Ryan Kastner, Farinaz Koushanfar

Proceedings of the International Conference on Computer-Aided Design, 2019

2018

DeepFense: online accelerated defense against adversarial deep learning.

Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar

Proceedings of the International Conference on Computer-Aided Design, 2018

Assured deep learning: practical defense against adversarial attacks.

Bita Darvish Rouhani, Mohammad Samragh, Mojan Javaheripi, Tara Javidi, Farinaz Koushanfar

Proceedings of the International Conference on Computer-Aided Design, 2018