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)

FastWave: Accelerating Autoregressive Convolutional Neural Networks on FPGA. - Shehzeen Hussain; Mojan Javaheripi; Paarth Neekhara; Ryan Kastner; Farinaz Koushanfar (ICCAD, 2019)

SemiHD: Semi-Supervised Learning Using Hyperdimensional Computing. - Mohsen Imani; Samuel Bosch; Mojan Javaheripi; Bita Darvish Rouhani; Xinyu Wu; Farinaz Koushanfar; Tajana Rosing (ICCAD, 2019)

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

SWNet: Small-World Neural Networks and Rapid Convergence. - Mojan Javaheripi; Bita Darvish Rouhani; Farinaz Koushanfar (CoRR, 2019)

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

Unified Architectural Support for Secure and Robust Deep Learning. - Mojan Javaheripi; Huili Chen; Farinaz Koushanfar (DAC, 2020)

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

Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution. - Hadi Pouransari; Mojan Javaheripi; Vinay Sharma; Oncel Tuzel (CVPR Workshops, 2021)

HASHTAG: Hash Signatures for Online Detection of Fault-Injection Attacks on Deep Neural Networks. - Mojan Javaheripi; Farinaz Koushanfar (ICCAD, 2021)

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

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

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)

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 (NeurIPS, 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)

Adversarial Attacks on Deep Learning-based Video Compression and Classification Systems. - Jung-Woo Chang; Mojan Javaheripi; Seira Hidano; Farinaz Koushanfar (CoRR, 2022)

VideoFlip: Adversarial Bit Flips for Reducing Video Service Quality. - Jung-Woo Chang; Mojan Javaheripi; Farinaz Koushanfar (DAC, 2023)

AdaGL: Adaptive Learning for Agile Distributed Training of Gigantic GNNs. - Ruisi Zhang; Mojan Javaheripi; Zahra Ghodsi; Amit Bleiweiss; Farinaz Koushanfar (DAC, 2023)

zPROBE: Zero Peek Robustness Checks for Federated Learning. - Zahra Ghodsi; Mojan Javaheripi; Nojan Sheybani; Xinqiao Zhang; Ke Huang 001; Farinaz Koushanfar (ICCV, 2023)

RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. - Chuxu Zhang; Dongkuan Xu; Mojan Javaheripi; Subhabrata Mukherjee; Lingfei Wu 001; Yinglong Xia; Jundong Li; Meng Jiang 001; Yanzhi Wang (KDD, 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 (NDSS, 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)

Textbooks Are All You Need. - Suriya Gunasekar; Yi Zhang 001; Jyoti Aneja; Caio César Teodoro Mendes; Allie Del Giorno; Sivakanth Gopi; Mojan Javaheripi; Piero Kauffmann; Gustavo de Rosa; Olli Saarikivi; Adil Salim; Shital Shah; et al. (CoRR, 2023)

Lanturn: Measuring Economic Security of Smart Contracts Through Adaptive Learning. - Kushal Babel; Mojan Javaheripi; Yan Ji 001; Mahimna Kelkar; Farinaz Koushanfar; Ari Juels (IACR Cryptol. ePrint Arch., 2023)

Holistic Algorithm and System Co-Optimization for Trustworthy and Platform-Aware Deep Learning - Mojan Javaheripi (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., 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., 2023)

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 001 (KDD, 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 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 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; et al. (CoRR, 2024)

Phi-4-reasoning Technical Report. - Marah I Abdin; Sahaj Agarwal; Ahmed Awadallah 001; Vidhisha Balachandran; Harkirat S. Behl; Lingjiao Chen; Gustavo de Rosa; Suriya Gunasekar; Mojan Javaheripi; Neel Joshi; Piero Kauffmann; Yash Lara; et al. (CoRR, 2025)