Nojan Sheybani

According to our database, Nojan Sheybani authored at least 15 papers between 2022 and 2025.

Collaborative distances:

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

2025

Zero-Knowledge Proof Frameworks: A Systematic Survey.

Nojan Sheybani, Anees Ahmed, Michel A. Kinsy, Farinaz Koushanfar

CoRR, February, 2025

Robust and Secure Code Watermarking for Large Language Models via ML/Crypto Codesign.

Ruisi Zhang, Neusha Javidnia, Nojan Sheybani, Farinaz Koushanfar

CoRR, February, 2025

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, January, 2025

2024

Tailor: Altering Skip Connections for Resource-Efficient Inference.

Olivia Weng, Gabriel Marcano, Vladimir Loncar, Alireza Khodamoradi, G. Abarajithan, Nojan Sheybani, Andres Meza, Farinaz Koushanfar, Kristof Denolf, Javier Mauricio Duarte, Ryan Kastner

ACM Trans. Reconfigurable Technol. Syst., March, 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

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

CoRR, 2024

You Can Have Your Cake and Eat It Too: Ensuring Practical Robustness and Privacy in Federated Learning.

Nojan Sheybani, Farinaz Koushanfar

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

2023

SPAM: Secure & Private Aircraft Management.

Yaman Jandali, Nojan Sheybani, Farinaz Koushanfar

CoRR, 2023

LiveTune: Dynamic Parameter Tuning for Training Deep Neural Networks.

Soheil Zibakhsh Shabgahi, Nojan Sheybani, Aiden Tabrizi, Farinaz Koushanfar

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

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

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

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

Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2023

ZKROWNN: Zero Knowledge Right of Ownership for Neural Networks.

Nojan Sheybani, Zahra Ghodsi, Ritvik Kapila, Farinaz Koushanfar

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

2022

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs.

Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Mauricio Duarte, Farinaz Koushanfar

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022