activity
20192026
most citedBackdoor Scanning for Deep Neural Networks through K-Arm Optimization

48 citations · 144 across the 25 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2025

AuthGuard: Generalizable Deepfake Detection via Language Guidance

Guangyu Shen, Zhihua Li, Xiang Xu +6

Existing deepfake detection techniques struggle to keep-up with the ever-evolving novel, unseen forgeries methods. This limitation stems from their reliance on statistical artifact…

cs.CV2024

LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning

Siyuan Cheng, Guanhong Tao, Yingqi Liu +7

Backdoor attack poses a significant security threat to Deep Learning applications. Existing attacks are often not evasive to established backdoor detection techniques. This suscept…

cs.CV2023

Detecting Backdoors in Pre-trained Encoders

Shiwei Feng, Guanhong Tao, Siyuan Cheng +6

Self-supervised learning in computer vision trains on unlabeled data, such as images or (image, text) pairs, to obtain an image encoder that learns high-quality embeddings for inpu…

cs.CV2020★ 15 cited

PENet: Object Detection using Points Estimation in Aerial Images

Ziyang Tang, Xiang Liu, Guangyu Shen +1

Aerial imagery has been increasingly adopted in mission-critical tasks, such as traffic surveillance, smart cities, and disaster assistance. However, identifying objects from aeria…

cs.CV2019★ 12 cited

AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation

Guangyu Shen, Chengzhi Mao, Junfeng Yang +1

Due to the inherent robustness of segmentation models, traditional norm-bounded attack methods show limited effect on such type of models. In this paper, we focus on generating unr…