TP1.L6.1
Universal Black-box Adversarial Patch Attack with Optimized Genetic Algorithm
Qun Zhao, Yuan-Gen Wang, Guangzhou University, China
Session:
TP1.L6: Trustworthy Visual AI Models & Systems - II Lecture
Track:
Visual Artificial Intelligence
Location:
Capital Suite - 18
Presentation Time:
Tue, 29 Oct, 14:30 - 14:48 Gulf Standard Time (UTC +4)
Session Chair:
A. Aydin Alatan, Middle East Technical University (METU)
Session TP1.L6
TP1.L6.1: Universal Black-box Adversarial Patch Attack with Optimized Genetic Algorithm
Qun Zhao, Yuan-Gen Wang, Guangzhou University, China
TP1.L6.2: DEEPFAKE DETECTION WITH COMBINED UNSUPERVISED-SUPERVISED CONTRASTIVE LEARNING
JunShuai Zheng, YiChao Zhou, XiYuan Hu, ZhenMin Tang, Nanjing University of Science and Technology, China
TP1.L6.3: SEGGUARD: DEFENDING SCENE SEGMENTATION AGAINST ADVERSARIAL PATCH ATTACK
Thomas Gittings, Steve Schneider, University of Surrey, United Kingdom of Great Britain and Northern Ireland; John Collomosse, Adobe, United States of America
TP1.L6.4: FACE MORPHING DETECTION IN SOCIAL MEDIA CONTENT
Akshay Agarwal, IISER Bhopal, India; Nalini Ratha, University at Buffalo, United States of America
TP1.L6.5: ENSEMBLE OF DEEP VARIATIONAL MIXTURE MODELS FOR UNSUPERVISED CLUSTERING
Xu Tan, Junqi Chen, Northwestern Polytechnical University, China; Jiawei Yang, University of Turku, Finland; Sylwan Rahardja, University of Eastern Finland, Finland; Mou Wang, Chinese Academy of Sciences, China; Susanto Rahardja, Northwestern Polytechnical University, China
Contacts