no code implementations • 26 Sep 2022 • Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara, Xinqiao Zhang, Javier Duarte, Farinaz Koushanfar
In this work, we design the first accelerator platform FastStamp to perform DNN based steganography and digital watermarking of images on hardware.
no code implementations • ICCV 2023 • Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
However, keeping the individual updates private allows malicious users to perform Byzantine attacks and degrade the accuracy without being detected.
no code implementations • 12 Apr 2022 • Huili Chen, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar
This paper proposes AdaTest, a novel adaptive test pattern generation framework for efficient and reliable Hardware Trojan (HT) detection.
1 code implementation • 8 Apr 2022 • Xinqiao Zhang, Huili Chen, Ke Huang, Farinaz Koushanfar
Deep Neural Networks (DNNs) have demonstrated unprecedented performance across various fields such as medical diagnosis and autonomous driving.
1 code implementation • 5 Apr 2022 • Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang, Ke Huang, Julian McAuley, Farinaz Koushanfar
We demonstrate that FaceSigns can embed a 128 bit secret as an imperceptible image watermark that can be recovered with a high bit recovery accuracy at several compression levels, while being non-recoverable when unseen Deepfake manipulations are applied.
no code implementations • 3 Feb 2021 • Xinqiao Zhang, Huili Chen, Farinaz Koushanfar
While DNNs are widely employed in security-sensitive fields, they are identified to be vulnerable to Neural Trojan (NT) attacks that are controlled and activated by the stealthy trigger.