MP-V2.V12.4
AN EFFECTIVE FUSION METHOD TO ENHANCE THE ROBUSTNESS OF CNN
Yating Ma, Zhichao Lian, Nanjing University of Science and Technology, China
Session:
Robustness in machine learning
Track:
Applications of Machine Learning
Location:
Gather.Town 12
Presentation Time:
Mon, 3 Oct, 22:00 - 23:00 China Standard Time (UTC +8)
Mon, 3 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Mon, 3 Oct, 14:00 - 15:00 UTC
Mon, 3 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
Mon, 3 Oct, 16:00 - 17:00 Central European Time (UTC +2)
Mon, 3 Oct, 14:00 - 15:00 UTC
Mon, 3 Oct, 10:00 - 11:00 Eastern Time (UTC -4)
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 MP-V2.V12
MP-V2.V12.1: Hiding Images into Images with Real-world Robustness
Qichao Ying, Xianhan Zeng, Fudan University, China, China; Hang Zhou, Simon Fraser University, Canada; Haisheng Xu, NVIDIA, China; Zhenxing Qian, Xinpeng Zhang, Fudan University, China
MP-V2.V12.2: TRANSFORMATION-BASED ADVERSARIAL DEFENSE VIA SPARSE REPRESENTATION
Bingyi Lu, Jiyuan Liu, Huilin Xiong, Shanghai Jiao Tong University, China
MP-V2.V12.3: CRAB: Certified Patch Robustness Against Poisoning-based Backdoor Attacks
Huxiao Ji, Jie Li, Chentao Wu, Shanghai Jiao Tong University, China
MP-V2.V12.4: AN EFFECTIVE FUSION METHOD TO ENHANCE THE ROBUSTNESS OF CNN
Yating Ma, Zhichao Lian, Nanjing University of Science and Technology, China
MP-V2.V12.5: STABLE CLUSTERING ENSEMBLE BASED ON EVIDENCE THEORY
Haijie Fu, Xiaodong Yue, Shanghai University, China; Wei Liu, Tongji University, China; Thierry Denoeux, Universit´ede technologie de Compi`egne, France
MP-V2.V12.6: Barycentric Defense
Subramanyam Venkata, IIITD, India; Abhigyan Raj, ISM, India
MP-V2.V12.7: Sign-OPT+: An improved sign optimization adversarial attack
Yu Ran, Yuan-Gen Wang, Guangzhou University, China
MP-V2.V12.8: Query-Efficient Adversarial Attack Based on Latin Hypercube Sampling
Dan Wang, Jiayu Lin, Yuan-Gen Wang, Guangzhou University, China
MP-V2.V12.9: Anomalib: A Deep Learning Library for Anomaly Detection
Samet Akcay, Dick Ameln, Ashwin Vaidya, Barath Lakshmanan, Nilesh Ahuja, Utku Genc, Intel, United Kingdom of Great Britain and Northern Ireland
MP-V2.V12.10: DeepSAR: Vessel Detection in SAR Imagery With Noisy Labels
Manu S Pillai, Indian Institute of Science, India; Abhijeet Bhattacharya, Indian Institute of Information Technology, India; Tanmay Baweja, Indian Institute of Technology, India; Rohit Gupta, Mubarak Shah, University of Central Florida, United States of America
MP-V2.V12.11: Robust Temporally Coherent Strategy for Few-shot Video Instance Segmentation
Qiuyue Wang, shanghaitech, alibaba, megvii, China; Songyang Zhang, tencent, alibaba, megvii, China; Xuming He, shanghaitech, China
MP-V2.V12.12: Learning from Noisy Labels via Meta Credible Label Elicitation
Ziyang Gao, Yaping Yan, Xin Geng, Southeast University, China
MP-V2.V12.13: VITRANSPAD: VIDEO TRANSFORMER USING CONVOLUTION AND SELF-ATTENTION FOR FACE PRESENTATION ATTACK DETECTION
Zuheng Ming, Musab Al-Ghadi, Muriel Visani, Muhammad Muzzamil Luqman, Jean-Christophe Burie, University of La Rochelle, France; Zitong Yu, University of Oulu, Finland
MP-V2.V12.14: SWIS: SELF-SUPERVISED REPRESENTATION LEARNING FOR WRITER INDEPENDENT OFFLINE SIGNATURE VERIFICATION
Siladittya Manna, Umapada Pal, Indian Statistical Institute, Kolkata, India; Soumitri Chattopadhyay, Jadavpur University, India; Saumik Bhattacharya, Indian Institute of Technology Kharagpur, India