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Found 6 papers, 2 papers with code
FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs
In this work, we design the first accelerator platform FastStamp to perform DNN based steganography and digital watermarking of images on hardware.
zPROBE: Zero Peek Robustness Checks for Federated Learning
However, keeping the individual updates private allows malicious users to perform Byzantine attacks and degrade the accuracy without being detected.
AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection
This paper proposes AdaTest, a novel adaptive test pattern generation framework for efficient and reliable Hardware Trojan (HT) detection.
An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks
Deep Neural Networks (DNNs) have demonstrated unprecedented performance across various fields such as medical diagnosis and autonomous driving.
FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes
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.
TAD: Trigger Approximation based Black-box Trojan Detection for AI
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.
