IFS-L3.6
BOOSTING ADVERSARIAL ROBUSTNESS DISTILLATION VIA HYBRID DECOMPOSED KNOWLEDGE
Yulun Wu, Mingrui Lao, Yanming Guo, National University of Defense Technology, China; Dongmei Chen, University of Granada, Spain; Tianyuan Yu, National University of Defense Technology, China
Session:
IFS-L3: Adversarial Machine Learning Lecture
Track:
Information Forensics and Security
Location:
Room 105
Presentation Time:
Fri, 19 Apr, 14:50 - 15:10 (UTC +9)
Session Chair:
Antoine Mallet, Troyes University of Technology
Session IFS-L3
IFS-L3.1: AdvTTS: Adversarial Text-to-Speech Synthesis Attack on Speaker Identification Systems
Chu-Xiao Zuo, Zhi-Jun Jia, Wu-Jun Li, Nanjing University, China
IFS-L3.2: NWS: NATURAL TEXTUAL BACKDOOR ATTACKS VIA WORD SUBSTITUTION
Wei Du, TongXin Yuan, HaoDong Zhao, GongShen Liu, Shanghai Jiao Tong University, China
IFS-L3.3: AN INITIAL INVESTIGATION OF NEURAL REPLAY SIMULATOR FOR OVER-THE-AIR ADVERSARIAL PERTURBATIONS TO AUTOMATIC SPEAKER VERIFICATION
Jiaqi Li, Li Wang, Liumeng Xue, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China; Lei Wang, Independent Researcher, Singapore; Zhizheng Wu, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), China
IFS-L3.4: COST AWARE UNTARGETED POISONING ATTACK AGAINST GRAPH NEURAL NETWORKS
Yuwei Han, Yuni Lai, Yulin Zhu, Kai Zhou, Hong Kong Polytechnic University, Hong Kong
IFS-L3.5: IMPROVING VISUAL QUALITY AND TRANSFERABILITY OF ADVERSARIAL ATTACKS ON FACE RECOGNITION SIMULTANEOUSLY WITH ADVERSARIAL RESTORATION
Fengfan Zhou, Hefei Ling, Yuxuan Shi, Jiazhong Chen, Ping Li, Huazhong University of Science and Technology, China
IFS-L3.6: BOOSTING ADVERSARIAL ROBUSTNESS DISTILLATION VIA HYBRID DECOMPOSED KNOWLEDGE
Yulun Wu, Mingrui Lao, Yanming Guo, National University of Defense Technology, China; Dongmei Chen, University of Granada, Spain; Tianyuan Yu, National University of Defense Technology, China
Contacts