FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs. - Shehzeen Hussain; Nojan Sheybani; Paarth Neekhara; Xinqiao Zhang; Javier Mauricio Duarte; Farinaz Koushanfar (ICCAD, 2022)

ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks. - Nojan Sheybani; Zahra Ghodsi; Ritvik Kapila; Farinaz Koushanfar (DAC, 2023)

Adapting Skip Connections for Resource-Efficient FPGA Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (FPGA, 2023)

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

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; Nojan Sheybani; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (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)

LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks. - Soheil Zibakhsh Shabgahi; Nojan Sheybani; Aiden Tabrizi; Farinaz Koushanfar (CoRR, 2023)

SPAM: Secure & Private Aircraft Management. - Yaman Jandali; Nojan Sheybani; Farinaz Koushanfar (CoRR, 2023)

You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning. - Nojan Sheybani; Farinaz Koushanfar (AAAI Spring Symposia, 2024)

AMAZE: Accelerated MiMC Hardware Architecture for Zero-Knowledge Applications on the Edge. - Anees Ahmed; Nojan Sheybani; Davi Moreno; Nges Brian Njungle; Tengkai Gong; Michel A. Kinsy; Farinaz Koushanfar (ICCAD, 2024)

SenseHash: Computing on Sensor Values Mystified at the Origin. - Nojan Sheybani; Xinqiao Zhang; Siam Umar Hussain; Farinaz Koushanfar (IEEE Trans. Emerg. Top. Comput., 2024)

Tailor: Altering Skip Connections for Resource-Efficient Inference. - Olivia Weng; Gabriel Marcano; Vladimir Loncar; Alireza Khodamoradi; G. Abarajithan; Nojan Sheybani; Andres Meza 001; Farinaz Koushanfar; Kristof Denolf; Javier Mauricio Duarte; Ryan Kastner (ACM Trans. Reconfigurable Technol. Syst., 2024)

Gotta Hash 'Em All! Speeding Up Hash Functions for Zero-Knowledge Proof Applications. - Nojan Sheybani; Tengkai Gong; Anees Ahmed; Nges Brian Njungle; Michel A. Kinsy; Farinaz Koushanfar (CoRR, 2025)

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign. - Ruisi Zhang; Neusha Javidnia; Nojan Sheybani; Farinaz Koushanfar (CoRR, 2025)

Zero-Knowledge Proof Frameworks: A Systematic Survey. - Nojan Sheybani; Anees Ahmed; Michel A. Kinsy; Farinaz Koushanfar (CoRR, 2025)