SS-MMSDF-1: Special Session: AI for Multimedia Security and Deepfake 1 |
| Session Type: Poster |
| Time: Monday, September 20, 15:30 - 17:00 |
| Location: Area B |
| 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
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| SS-MMSDF-1.7: FROM GRADIENT LEAKAGE TO ADVERSARIAL ATTACKS IN FEDERATED LEARNING |
| Jia Qi Lim; Universiti Malaya |
| Chee Seng Chan; Universiti Malaya |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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| 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 |
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