WP-V1.V3.5

RWN: Robust Watermarking Network for Image Cropping Localization

Qichao Ying, Xiaoxiao Hu, Xiangyu Zhang, Fudan University, China, China; Zhenxing Qian, Sheng Li, Xinpeng Zhang, Fudan University, China
Session:
Information Forensics and Security
Virtual Poster
Track:
Information Forensics and Security
Location:
Gather.Town 3
Presentation Time:
Wed, 5 Oct, 21:00 - 22:00 China Standard Time (UTC +8)
Wed, 5 Oct, 15:00 - 16:00 Central European Time (UTC +1)
Wed, 5 Oct, 13:00 - 14:00 UTC
Wed, 5 Oct, 09:00 - 10:00 Eastern Time (UTC -5)
Session Co-Chairs:
Jean-Christophe Pesquet, CentraleSupélec and Andrea Cavallaro, Queen Mary University of London and Rebecca Willett, University of Chicago
Presentation
Discussion
Resources
No resources available.
Session WP-V1.V3
WP-V1.V3.1: FAKETRACER: EXPOSING DEEPFAKES WITH TRAINING DATA CONTAMINATION
Pu Sun, Honggang Qi, University of Chinese Academy of Sciences, China; Yuezun Li, Ocean University of China, China; Siwei Lyu, University at Buffalo, State University of New York, United States of America
WP-V1.V3.2: MODEL ATTRIBUTION OF FACE-SWAP DEEPFAKE VIDEOS
Shan Jia, Siwei Lyu, University at Buffalo, United States of America; Xin Li, West Virginia University, United States of America
WP-V1.V3.3: A MULTI-SCALE CONTENT-INSENSITIVE FUSION CNN FOR SOURCE SOCIAL NETWORK IDENTIFICATION
Manisha N/A, Karunakar A. Kotegar, Manipal Institute of Technology, Manipal Academy of Higher Education, India; Chang-Tsun Li, Deakin University, Australia
WP-V1.V3.4: A ROBUST MISALIGNMENT ESTIMATION APPROACH IN NON-ALIGNED DOUBLE JPEG COMPRESSION SCENARIO
Giovanni Puglisi, University of Cagliari, Italy; Sebastiano Battiato, University of Catania, Italy
WP-V1.V3.5: RWN: Robust Watermarking Network for Image Cropping Localization
Qichao Ying, Xiaoxiao Hu, Xiangyu Zhang, Fudan University, China, China; Zhenxing Qian, Sheng Li, Xinpeng Zhang, Fudan University, China
WP-V1.V3.6: ADVERSARIAL LABEL-POISONING ATTACKS AND DEFENSE FOR GENERAL MULTI-CLASS MODELS BASED ON SYNTHETIC REDUCED NEAREST NEIGHBOR
Pooya Tavallali, Azar Alizadeh, Aditya Ranganath, Mukesh Singhal, University of California-Merced, United States of America; Vahid Behzadan, University of New Haven, United States of America
WP-V1.V3.7: NEURAL NETWORK FRAGILE WATERMARKING WITH NO MODEL PERFORMANCE DEGRADATION
Zhaoxia Yin, East China Normal University, China; Heng Yin, Anhui University, China; Xinpeng Zhang, Fudan University, China
WP-V1.V3.8: UNCERTAINTY AWARE MULTITASK PYRAMID VISION TRANSFORMER FOR UAV-BASED OBJECT RE-IDENTIFICATION
Syeda Nyma Ferdous, Xin Li, West Virginia University, United States of America; Siwei Lyu, State University of New York at Buffalo, United States of America
WP-V1.V3.9: GAITPOINT: A GAIT RECOGNITION NETWORK BASED ON POINT CLOUD ANALYSIS
Jiajing Chen, Huantao Ren, Frank (Sicong) Chen, Senem Velipasalar, Vir Phoha, Syracuse University, United States of America
WP-V1.V3.10: Simulator Attack+ For Black-box Adversarial Attack
Yimu Ji, Jianyu Ding, Zhiyu Chen, Fei Wu, Chi Zhang, Yiming Sun, Jing Sun, Shangdong Liu, Nanjing University of Posts and Telecommunications, China
WP-V1.V3.11: AUTHENTICATION OF COPY DETECTION PATTERNS UNDER MACHINE LEARNING ATTACKS: A SUPERVISED APPROACH
Brian Pulfer, Roman Chaban, Yury Belousov, Joakim Tutt, Olga Taran, Taras Holotyak, Slava Voloshynovskiy, University of Geneva, Switzerland
WP-V1.V3.12: FUSING GLOBAL AND LOCAL FEATURES FOR GENERALIZED AI-SYNTHESIZED IMAGE DETECTION
Yan Ju, Shan Jia, Lipeng Ke, Hongfei Xue, Siwei Lyu, University at Buffalo, State University of New York, United States of America; Koki Nagano, NVIDIA, United States of America
WP-V1.V3.13: TOWARDS MODEL QUANTIZATION ON THE RESILIENCE AGAINST MEMBERSHIP INFERENCE ATTACKS
Charles Kowalski, Azadeh Famili, Yingjie Lao, Clemson University, United States of America
WP-V1.V3.14: AN ENHANCED TRANSFERABLE ADVERSARIAL ATTACK OF SCALE-INVARIANT METHODS
Zhi Lin, Anjie Peng, Rong Wei, Wenxin Yu, Hui Zeng, Southwest University of Science and Technology/China, China
WP-V1.V3.15: DEFENDING AGAINST MULTIPLE AND UNFORESEEN ADVERSARIAL VIDEOS
Shao-Yuan Lo, Vishal M. Patel, Johns Hopkins University, United States of America