Technical Program

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SS-MMSDF-1: Special Session: AI for Multimedia Security and Deepfake 1

Paper Presentations and Interactive Q&A Time: Monday, September 20, 15:30 - 17:00
Session Chairs: Xiangui Kang, Sun Yat-sen University, China, Jiantao Zhou, University of Macau, Macau, Kok Sheik Wong, Monash University, Malaysia and Minoru Kuribayashi, Okayama University, Japan
 
 SS-MMSDF-1.1: DEEPFAKE VIDEO DETECTION USING 3D-ATTENTIONAL INCEPTION CONVOLUTIONAL NEURAL NETWORK
         Changlei Lu; University of Science and Technology of China
         Bin Liu; University of Science and Technology of China
         Wenbo Zhou; University of Science and Technology of China
         Qi Chu; University of Science and Technology of China
         Nenghai Yu; University of Science and Technology of China
 
 SS-MMSDF-1.2: IMPROVING THE GENERALIZATION ABILITY OF DEEPFAKE DETECTION VIA DISENTANGLED REPRESENTATION LEARNING
         Jiashang Hu; Shanghai Jiao Tong University
         Shilin Wang; Shanghai Jiao Tong University
         Xiaoyong Li; Shanghai Jiao Tong University
 
 SS-MMSDF-1.3: FSFT-NET: FACE TRANSFER VIDEO GENERATION WITH FEW-SHOT VIEWS
         Luchuan Song; Unversity of Science and Technology of China
         Guojun Yin; Unversity of Science and Technology of China
         Bin Liu; Unversity of Science and Technology of China
         Yuhui Zhang; University of Science and Technology of China
         Nenghai Yu; Unversity of Science and Technology of China
 
 SS-MMSDF-1.4: EXPLOITING FACIAL SYMMETRY TO EXPOSE DEEPFAKES
         Gen Li; Institute of Information Engineering, Chinese Academy of Sciences
         Yun Cao; Institute of Information Engineering, Chinese Academy of Sciences
         Xianfeng Zhao; Institute of Information Engineering, Chinese Academy of Sciences
 
 SS-MMSDF-1.5: TOWARDS UNIVERSAL PHYSICAL ATTACKS ON CASCADED CAMERA-LIDAR 3D OBJECT DETECTION MODELS
         Mazen Abdelfattah; University of British Columbia
         Kaiwen Yuan; University of British Columbia
         Z. Jane Wang; University of British Columbia
         Rabab Ward; University of British Columbia
 
 SS-MMSDF-1.6: FACE FORGERY DETECTION BASED ON SEGMENTATION NETWORK
         Yingbin Zhou; Sun Yat-sen University
         Anwei Luo; Sun Yat-sen University
         Xiangui Kang; Sun Yat-sen University
         Siwei Lyu; University at Buffalo, State University of New York
 
 SS-MMSDF-1.7: FROM GRADIENT LEAKAGE TO ADVERSARIAL ATTACKS IN FEDERATED LEARNING
         Jia Qi Lim; Universiti Malaya
         Chee Seng Chan; Universiti Malaya
 
 SS-MMSDF-1.8: DETECTING C&W ADVERSARIAL IMAGES BASED ON NOISE ADDITION-THEN-DENOISING
         Kang Deng; Southwest University of Science and Technology
         Anjie Peng; Southwest University of Science and Technology
         Wanli Dong; Southwest University of Science and Technology
         Hui Zeng; Southwest University of Science and Technology
 
 SS-MMSDF-1.9: ROBIC: A BENCHMARK SUITE FOR ASSESSING CLASSIFIERS ROBUSTNESS
         Thibault Maho; Inria
         Benoit Bonnet; Inria
         Teddy Furon; Inria
         Erwan Le Merrer; Inria
 
 SS-MMSDF-1.10: MODEL-AGNOSTIC ADVERSARIAL EXAMPLE DETECTION THROUGH LOGIT DISTRIBUTION LEARNING
         Yaopeng Wang; Fuzhou University
         Lehui Xie; Fuzhou University
         Ximeng Liu; Fuzhou University
         Jia-Li Yin; Fuzhou University
         Tingjie Zheng; Fuzhou University
 
 SS-MMSDF-1.11: PARTICLE SWARM AND PATTERN SEARCH OPTIMISATION OF AN ENSEMBLE OF FACE ANOMALY DETECTORS
         Soroush Fatemifar; University of Surrey
         Muhammad Awais; University of Surrey
         Ali Akbari; University of Surrey
         Josef Kittler; University of Surrey
 
 SS-MMSDF-1.12: ADVERSARIAL ATTACK ON FAKE-FACES DETECTORS UNDER WHITE AND BLACK BOX SCENARIOS
         Xiying Wang; Institute of Information Science, Beijing Jiaotong University/Beijing Key Laboratory of Advanced Information Science and Network Technology
         Rongrong Ni; Institute of Information Science, Beijing Jiaotong University/Beijing Key Laboratory of Advanced Information Science and Network Technology
         Wenjie Li; Institute of Information Science, Beijing Jiaotong University/Beijing Key Laboratory of Advanced Information Science and Network Technology
         Yao Zhao; Institute of Information Science, Beijing Jiaotong University/Beijing Key Laboratory of Advanced Information Science and Network Technology