activity
20212026
most citedTAD: Trigger Approximation based Black-box Trojan Detection for AI

9 citations · 25 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2026

Trojans in Artificial Intelligence (TrojAI) Final Report

Kristopher W. Reese, Taylor Kulp-McDowall, Michael Majurski +68

The Intelligence Advanced Research Projects Activity (IARPA) launched the TrojAI program to confront an emerging vulnerability in modern artificial intelligence: the threat of AI T…

cs.CV2022★ 7 cited

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

Shehzeen Hussain, Nojan Sheybani, Paarth Neekhara +3

Steganography and digital watermarking are the tasks of hiding recoverable data in image pixels. Deep neural network (DNN) based image steganography and watermarking techniques are…

cs.LG2022

zPROBE: Zero Peek Robustness Checks for Federated Learning

Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani +3

Privacy-preserving federated learning allows multiple users to jointly train a model with coordination of a central server. The server only learns the final aggregation result, thu…

cs.AI2022

AdaTest:Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection

Huili Chen, Xinqiao Zhang, Ke Huang +1

This paper proposes AdaTest, a novel adaptive test pattern generation framework for efficient and reliable Hardware Trojan (HT) detection. HT is a backdoor attack that tampers with…

cs.CR2022★ 1 cited

An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks

Xinqiao Zhang, Huili Chen, Ke Huang +1

With the surge of Machine Learning (ML), An emerging amount of intelligent applications have been developed. Deep Neural Networks (DNNs) have demonstrated unprecedented performance…

cs.CV2022★ 8 cited

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

Paarth Neekhara, Shehzeen Hussain, Xinqiao Zhang +3

Deepfakes and manipulated media are becoming a prominent threat due to the recent advances in realistic image and video synthesis techniques. There have been several attempts at co…

cs.CR2021★ 9 cited

TAD: Trigger Approximation based Black-box Trojan Detection for AI

Xinqiao Zhang, Huili Chen, Farinaz Koushanfar

An emerging amount of intelligent applications have been developed with the surge of Machine Learning (ML). Deep Neural Networks (DNNs) have demonstrated unprecedented performance…