most citedBackdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

FairSkin: Fair Diffusion for Skin Disease Image Generation

Ruichen Zhang, Yuguang Yao, Zhen Tan +6

Image generation is a prevailing technique for clinical data augmentation for advancing diagnostic accuracy and reducing healthcare disparities. Diffusion Model (DM) has become a l…

cs.CR2024

Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving

Ce Zhou, Qiben Yan, Sijia Liu

Object detection is a crucial task in autonomous driving. While existing research has proposed various attacks on object detection, such as those using adversarial patches or stick…

cs.CV2024

Adversarial Watermarking for Face Recognition

Yuguang Yao, Anil Jain, Sijia Liu

Watermarking is an essential technique for embedding an identifier (i.e., watermark message) within digital images to assert ownership and monitor unauthorized alterations. In face…

cs.CV2024

Hide and Seek: How Does Watermarking Impact Face Recognition?

Yuguang Yao, Steven Grosz, Sijia Liu +1

The recent progress in generative models has revolutionized the synthesis of highly realistic images, including face images. This technological development has undoubtedly helped f…

cs.LG2024★ 2 cited

Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency

Soumyadeep Pal, Yuguang Yao, Ren Wang +2

Modern machine learning (ML) systems demand substantial training data, often resorting to external sources. Nevertheless, this practice renders them vulnerable to backdoor poisonin…